#AI Robot in Heart Treatment Market Challenges | Explore Tumblr Posts and Blogs

lalsingh228-blog · 8 months

Text

AI Robot in Heart Treatment Market Set for Explosive Growth

Advance Market Analytics published a new research publication on "AI Robot in Heart Treatment Market Insights, to 2028" with 232 pages and enriched with self-explained Tables and charts in presentable format. In the Study you will find new evolving Trends, Drivers, Restraints, Opportunities generated by targeting market associated stakeholders. The growth of the AI Robot in Heart Treatment market was mainly driven by the increasing R&D spending across the world.

Get Free Exclusive PDF Sample Copy of This Research @ https://www.advancemarketanalytics.com/sample-report/186484-global-ai-robot-in-heart-treatment--market The AI Robot in Heart Treatment Market report covers extensive analysis of the key market players, along with their business overview, expansion plans, and strategies. The key players studied in the report include: Heartlander Surgical (United States), Intuitive Surgical (United States), Medrobotics Corporation (United States), CMR Surgical Limited (United Kingdom), Corindus Vascular Robotics (United States), Hansen Medical (United States) Definition: AI robots are rapidly growing in popularity in the medical to perform various clinical tasks and surgeries. Growing preference towards minimally invasive surgery and emerging trends of remote surgery across the healthcare sector will accelerate the growth of AI robots in heart treatment. Most surgical robots have a camera that captures real-time images and videos and sends them to the monitor in the surgical room to guide doctors during surgery. The following fragment talks about the AI Robot in Heart Treatment market types, applications, End-Users, Deployment model etc. A thorough analysis of AI Robot in Heart Treatment Market Segmentation: by Type (Rehabilitation Robots, Surgical Robots), Application (Cardiac Ablation, Myocardial Regeneration, Biventricular Pacing Lead Placement, Valve Repair, Removal of Cardiac Tumors, Others), Dimensional Type (2D, 3D), End-user (Electrophysiologists, Interventional Cardiologists, Cardiothoracic Surgeons, Government Hospitals, Rehabilitation Centers, Others) AI Robot in Heart Treatment Market Drivers:

Surging Demand for AI Robots in the Heart Surgery to Reduce the Surgery Timing and Patient Exposure to Contrast Agent and Radiation

High Growth of AI and ML in the Surgical Robots to Perform Complicated Surgeries and Improve the Experience

AI Robot in Heart Treatment Market Trends:

Increased Focus on the Technological Advancements of Robotics by the Market Players

AI Robot in Heart Treatment Market Growth Opportunities:

Increasing Number of Cardiac Patients Across the Globe Due to Change in Lifestyle

Evolution of 5G Network Technology and Increased Adoption of Advanced Technologies like AI, ML, and Robotics in the Developing Countries

As the AI Robot in Heart Treatment market is becoming increasingly competitive, it has become imperative for businesses to keep a constant watch on their competitor strategies and other changing trends in the AI Robot in Heart Treatment market. Scope of AI Robot in Heart Treatment market intelligence has proliferated to include comprehensive analysis and analytics that can help revamp business models and projections to suit current business requirements. We help our customers settle on more intelligent choices to accomplish quick business development. Our strength lies in the unbeaten diversity of our global market research teams, innovative research methodologies, and unique perspective that merge seamlessly to offer customized solutions for your every business requirement. Have Any Questions Regarding Global AI Robot in Heart Treatment Market Report, Ask Our Experts@ https://www.advancemarketanalytics.com/enquiry-before-buy/186484-global-ai-robot-in-heart-treatment--market Strategic Points Covered in Table of Content of Global AI Robot in Heart Treatment Market:

Chapter 1: Introduction, market driving force product Objective of Study and Research Scope the AI Robot in Heart Treatment market

Chapter 2: Exclusive Summary and the basic information of the AI Robot in Heart Treatment Market.

Chapter 3: Displaying the Market Dynamics- Drivers, Trends and Challenges & Opportunities of the AI Robot in Heart Treatment

Chapter 4: Presenting the AI Robot in Heart Treatment Market Factor Analysis, Porters Five Forces, Supply/Value Chain, PESTEL analysis, Market Entropy, Patent/Trademark Analysis.

Chapter 5: Displaying the by Type, End User and Region/Country 2018-2022

Chapter 6: Evaluating the leading manufacturers of the AI Robot in Heart Treatment market which consists of its Competitive Landscape, Peer Group Analysis, BCG Matrix & Company Profile

Chapter 7: To evaluate the market by segments, by countries and by Manufacturers/Company with revenue share and sales by key countries in these various regions (2023-2028)

Chapter 8 & 9: Displaying the Appendix, Methodology and Data Source

Finally, AI Robot in Heart Treatment Market is a valuable source of guidance for individuals and companies. Read Detailed Index of full Research Study at @ https://www.advancemarketanalytics.com/reports/186484-global-ai-robot-in-heart-treatment--market What benefits does AMA research study is going to provide?

Latest industry influencing trends and development scenario

Open up New Markets

To Seize powerful market opportunities

Key decision in planning and to further expand market share

Identify Key Business Segments, Market proposition & Gap Analysis

Assisting in allocating marketing investments

Thanks for reading this article; you can also get individual chapter wise section or region wise report version like North America, Middle East, Africa, Europe or LATAM, Southeast Asia. Contact US : Craig Francis (PR & Marketing Manager) AMA Research & Media LLP Unit No. 429, Parsonage Road Edison, NJ New Jersey USA – 08837 Phone: +1 201 565 3262, +44 161 818 8166 [email protected]

#Global AI Robot in Heart Treatment Market #AI Robot in Heart Treatment Market Demand #AI Robot in Heart Treatment Market Trends #AI Robot in Heart Treatment Market Analysis #AI Robot in Heart Treatment Market Growth #AI Robot in Heart Treatment Market Share #AI Robot in Heart Treatment Market Forecast #AI Robot in Heart Treatment Market Challenges

0 notes

jcmarchi · 28 days

Text

5 Challenges of AI in Healthcare

New Post has been published on https://thedigitalinsider.com/5-challenges-of-ai-in-healthcare/

5 Challenges of AI in Healthcare

Imagine a world where your smartwatch not only tracks your steps but also predicts a heart attack before it happens. It’s closer to reality than you think.

Artificial intelligence (AI) integration in healthcare has begun, unlocking many use cases for healthcare providers and patients. The AI healthcare software and hardware market is expected to surpass $34 billion by 2025 globally.

Among the technology and processes indicative of these investments in healthcare include:

Robotic nurses to aid surgeons.

Wearables for real-time health monitoring.

Medical AI chatbots for enhanced self-care.

Predictive diagnosis based on existing health symptoms.

However, these applications also come with complex challenges. This blog will explore the five challenges in implementing AI in healthcare, their solutions, and their benefits.

Challenges of Using AI in Healthcare

Physicians, doctors, nurses, and other healthcare providers face many challenges integrating AI into their workflows, from displacement of human labor to data quality issues.

1. Displacement of Human Employees

There is a growing concern that AI could replace healthcare professionals, including job displacement, an outdated skillset, and mental and financial hardships. This potential shift may deter medical groups from adopting AI, causing them to forego many benefits.

The challenge lies in balancing the integration of AI for routine tasks and retaining human expertise for complex patient care, where empathy and critical thinking are irreplaceable.

2. Ethical and Privacy Issues

Obtaining informed consent from patients on how AI systems will use their data can be complex, especially when the public does not fully understand the underlying logic. Some providers might also disregard ethics and use patient data without permission.

Additionally, biases in training data could result in unequal treatment suggestions or misdiagnosis. This discrepancy can disproportionately affect vulnerable groups.

For example, an algorithm that predicts which patients need more intensive care based on healthcare costs rather than actual illness. This incorrectly attributed a lower disease burden to black people.

Furthermore, AI’s ability to identify individuals through large amounts of genome data, even when personal identifiers are removed, poses a risk to patient confidentiality.

3. Lack of Digital Training and Adoption Barriers

A major problem is that medical students receive insufficient training on AI tools and theory. This unpreparedness makes adopting AI difficult during their internships and work.

Another significant barrier is the reluctance of some individuals to embrace digital technologies. Many people still prefer traditional, in-person consultations due to multiple reasons, such as:

The relatable nature of human interactions.

Uniqueness neglect by AI.

The higher perceived value of human doctors, etc.

This resistance is often compounded by a general lack of awareness about AI and its potential benefits, particularly in developing countries.

4. Professional Liabilities

The use of AI systems in decision-making introduces new professional liabilities for healthcare providers, raising questions about ownership if AI initiatives are ineffective. For example, doctors can defer treatment plans to AI without taking responsibility for failed patient examinations.

Furthermore, while machine learning (ML) algorithms can offer personalized treatment recommendations, the lack of transparency in these algorithms complicates individual accountability.

Additionally, reliance on AI could lead to complacency among healthcare professionals, who might defer to computerized decisions without applying their clinical judgment.

5. Interoperability Problems and Data Quality Issues

Data from different sources can often fail to integrate seamlessly. Inconsistency in data formats across systems makes it difficult to access and process information efficiently, creating information silos.

Moreover, poor data quality—such as incomplete or inaccurate records—can lead to flawed AI analysis, ultimately compromising patient care.

Considering these challenges, how can healthcare organizations leverage the full potential of AI?

Solutions to Healthcare AI Problems

Solving the challenges introduced by AI involves a top-down approach. It begins with ensuring that data analysts thoroughly vet datasets used to train AI algorithms to eliminate biases and low-quality data. Transparency with patients regarding AI’s role in their treatment is also crucial to increase adoption.

An example is the Mayo Clinic, which used an algorithm that analyzed over 60,000 images to detect pre-cancerous signs. The algorithm’s accuracy was 91% compared to a human expert’s.

Apart from fixing old datasets, health regulatory bodies, such as the European Medicines Agency (EMA), must collect new, error-free data representing diverse populations to enhance accuracy. OpenAPS is an example of an initiative to create an inclusive open-source collection of systems to treat type 1 diabetes accurately.

Additionally, hospitals should enhance training and education for healthcare professionals. Educational authorities can also extend this specialized training to universities to prepare future practitioners.

This initiative will ensure familiarity with and expertise in AI tools and reduce resistance to their adoption in a professional setting. For example, Intuitive Surgical Ltd’s investment in the da Vinci system has helped doctors in over 5 million surgeries.

Investing in modern data integration tools, such as Astera and Fivetran, with built-in data quality features will also help. These tools remove siloed data and improve interoperability. They also enable data validation to ensure AI algorithms have clean data to analyze.

To effectively integrate AI systems into healthcare, medical institutions must balance leveraging AI and preserving human expertise. Adopting hybrid approaches like human-in-the-loop (HITL) models can help alleviate fears of job displacement. This approach will also ease patient concerns about AI involvement while allowing workers to improve productivity.

And, what are the benefits of successful AI integration within healthcare?

Benefits of AI in Healthcare

AI provides many benefits in the healthcare industry, including improved diagnosis and higher work efficiency:

1. Enhanced Diagnostic Accuracy

AI is transforming diagnostic processes by rapidly analyzing medical images, lab results, and patient data with remarkable precision. This ability to process large amounts of information quickly leads to early, potentially more accurate diagnoses, improving disease management.

2. Personalized Treatment Plans

AI-powered deep learning algorithms can process extensive datasets to create personalized treatment plans tailored to individual patients. This customization improves the efficacy of treatments and minimizes side effects by addressing each patient’s specific needs based on extensive sample data.

3. Operational Efficiency

By automating administrative tasks such as scheduling appointments and billing, AI allows healthcare providers to spend more time and effort on direct patient care. This shift reduces the burden of routine tasks, cuts costs, streamlines operations, and improves overall efficiency.

4. Improved Patient Monitoring

AI-powered tools, including wearable devices, offer continuous patient monitoring, providing real-time alerts and insights. For example, these devices can alert medical services in case of an unusually high heartbeat, which could indicate a physical injury or heart condition.

This proactive approach enables healthcare providers to respond swiftly to changes in a patient’s condition, improving disease management and overall patient care.

Looking Ahead

Emerging technologies, like virtual reality (VR) in medicine, will play a critical role. Many healthcare tasks, from diagnostics to treatment, will be AI-powered, enhancing access to care patient outcomes.

However, healthcare authorities must balance AI’s benefits and challenges to ensure ethical and effective integration into patient care. This will transform the healthcare delivery systems in the long term.

Explore Unite.ai for more resources on AI and healthcare.

1 note · View note

trendtrackershq · 2 months

Text

North America: A Surgical Suite Market Powerhouse Leading Global Growth

Introduction:

The Surgical Suite Market is experiencing a period of dynamic transformation, driven by a confluence of factors that are reshaping healthcare delivery worldwide. This article delves into the factors propelling North America's dominance in this market and explores the region's future trajectory.

Download FREE Sample: https://www.nextmsc.com/surgical-suite-market/request-sample

North America: A Hub of Innovation and Market Leadership

Currently, North America holds the lion's share of the surgical suite market, and this trend is expected to continue in the coming years. Several key factors contribute to this dominance:

Advanced Healthcare Infrastructure: North America boasts a well-established and sophisticated healthcare infrastructure. This includes leading medical institutions, a highly skilled healthcare workforce, and robust research and development (R&D) capabilities. This environment fosters innovation in surgical equipment, technologies, and procedures, propelling the market forward.

High Prevalence of Chronic Diseases: A significant factor driving the North American surgical suite market is the high prevalence of chronic diseases in the region. According to the National Association of Chronic Diseases Directors, nearly 60% of adult Americans have at least one chronic disease. These conditions, including heart disease, cancer, and diabetes, often require surgical intervention, leading to a sustained demand for advanced surgical facilities.

Government Initiatives and Reimbursement Policies: Government support for healthcare infrastructure development and favorable reimbursement policies for surgical procedures in North America play a crucial role in market growth. This incentivizes hospitals and ASCs to invest in advanced surgical suites, ensuring patients have access to the latest technologies and treatment options.

Growing Focus on Minimally Invasive Surgery (MIS): The North American healthcare landscape is witnessing a growing emphasis on minimally invasive surgical (MIS) techniques. These procedures offer numerous advantages, including faster recovery times, reduced pain, and less scarring. This shift necessitates specialized surgical suites equipped with sophisticated laparoscopic and robotic surgery systems, further propelling market expansion.

Beyond Dominance: Exploring North America's Evolving Surgical Suite Landscape

While North America maintains its leadership position, the surgical suite market within the region is undergoing significant transformations:

Integration of Artificial Intelligence (AI): North American healthcare institutions are actively exploring the integration of AI into surgical suites. AI has the potential to revolutionize surgical practices by assisting surgeons with decision-making, automating repetitive tasks, and facilitating real-time data analysis during procedures.

The Rise of Telepresence Surgery: Telepresence surgery, utilizing robotic technology to allow surgeons to perform complex procedures remotely, is gaining traction in North America. This technology holds promise for improving access to specialized surgical care, particularly in underserved or geographically remote areas.

Focus on Cost-Effectiveness and Value-Based Care: The rising healthcare costs in North America are prompting a shift towards value-based care models. This approach emphasizes cost-effectiveness while ensuring optimal patient outcomes. As a result, the demand for surgical suites that optimize workflow efficiency and minimize resource utilization is on the rise.

Growing Popularity of Ambulatory Surgical Centers (ASCs): ASCs are gaining popularity in North America as they offer a cost-effective alternative to traditional hospital settings for outpatient surgical procedures. This trend is driving the development of specialized and efficient surgical suites within ASCs, catering to the specific needs of these facilities.

Challenges and Opportunities in the North American Market

Despite its dominance, the North American surgical suite market faces certain challenges:

Stringent Regulatory Landscape: The stringent regulatory environment in North America can slow down the approval process for new surgical technologies. This can hinder innovation and limit access to cutting-edge surgical equipment.

Cybersecurity Concerns: As surgical suites become increasingly reliant on digital technologies, ensuring robust cybersecurity measures to protect patient data becomes paramount. This necessitates ongoing investments in secure data management systems and protocols.

Skilled Workforce Shortages: A potential shortage of skilled surgical staff, including surgeons, nurses, and technicians, could pose a challenge in the future. Addressing this workforce gap is crucial to ensure optimal utilization of advanced surgical suites.

Inquire before buying: https://www.nextmsc.com/surgical-suite-market/inquire-before-buying

Looking Ahead: A Collaborative Future for Surgical Innovation

North America's dominance in the surgical suite market is likely to continue in the foreseeable future due to its robust healthcare infrastructure, high disease burden, and focus on innovation. However, the market landscape is evolving, with a growing emphasis on cost-effectiveness, value-based care, and the adoption of emerging technologies. By addressing existing challenges and fostering collaboration between healthcare institutions, policymakers, and technology developers, North America can solidify its position as a global leader in surgical innovation and ensure continued improvements in patient care and outcomes.

Conclusion:

North America's well-established healthcare infrastructure, high prevalence of chronic diseases, and commitment to innovation have cemented its position as a dominant force in the surgical suite market. Government support, favorable reimbursement policies, and a growing emphasis on minimally invasive surgery further contribute to market expansion. However, the future of surgical suites in North America extends beyond maintaining dominance. The integration of AI, the rise of telepresence surgery, and a focus on cost-effective, value-based care models are transforming the landscape. While challenges like stringent regulations, cybersecurity concerns, and potential workforce shortages exist, North America is well-positioned to navigate these hurdles through collaboration between healthcare providers, policymakers, and technology developers. By embracing innovation and addressing these challenges, North America can ensure its surgical suites remain at the forefront of surgical excellence, delivering improved patient outcomes and shaping the future of healthcare delivery worldwide.

#surgical suite #healthcare #market research #market trends #business insights

0 notes

varshablog · 3 months

Text

The Rise of Artificial Intelligence: Transforming Our World

Artificial Intelligence (AI) has moved from the realm of science fiction into the heart of everyday life. From the smartphones in our pockets to the advanced algorithms driving businesses, AI is rapidly transforming industries, economies, and societies. In this blog, we will explore the fascinating world of AI, its current applications, and its potential to shape the future.

What is AI?

At its core, AI refers to the simulation of human intelligence processes by machines, especially computer systems. These processes include learning (the acquisition of information and rules for using it), reasoning (using rules to reach approximate or definite conclusions), and self-correction. AI encompasses a variety of subfields, including machine learning, natural language processing, robotics, and computer vision.

AI in Everyday Life

AI has seamlessly integrated into our daily routines, often without us even realizing it. Here are some examples of how AI is already enhancing our lives:

Smart Assistants: Virtual assistants like Siri, Alexa, and Google Assistant use natural language processing and machine learning to understand and respond to our commands, making tasks like setting reminders, playing music, or searching the web effortless.

Personalized Recommendations: Streaming services like Netflix and Spotify, and online retailers like Amazon, use AI algorithms to analyze our preferences and suggest content or products tailored to our tastes.

Healthcare: AI is revolutionizing healthcare by enabling early disease detection, personalized treatment plans, and efficient patient management. For example, AI-powered imaging systems can detect anomalies in medical scans with high accuracy.

Finance: In the financial sector, AI algorithms analyze vast amounts of data to predict market trends, detect fraudulent activities, and automate trading processes.

AI in Industry

AI is not just enhancing consumer experiences; it is also driving significant efficiencies and innovations across various industries:

Manufacturing: AI-powered robots and automation systems are improving production processes, reducing errors, and increasing productivity. Predictive maintenance, enabled by AI, helps in anticipating equipment failures and minimizing downtime.

Transportation: Self-driving cars, powered by AI, are on the verge of becoming mainstream. These vehicles use a combination of sensors, cameras, and AI algorithms to navigate and make real-time decisions, promising safer and more efficient transportation.

Agriculture: AI is transforming agriculture with precision farming techniques. AI-driven tools analyze soil conditions, weather patterns, and crop health to optimize planting, watering, and harvesting, leading to higher yields and sustainable practices.

Retail: AI enhances customer experiences in retail through chatbots, personalized shopping experiences, and inventory management systems. It helps retailers predict demand, manage stock, and streamline supply chains.

Challenges and Ethical Considerations

While the benefits of AI are immense, it also poses significant challenges and ethical questions:

Job Displacement: Automation driven by AI may lead to job losses in certain sectors. It is crucial to consider retraining and upskilling programs to help workers transition to new roles.

Bias and Fairness: AI systems can inadvertently perpetuate biases present in training data. Ensuring fairness and transparency in AI algorithms is essential to prevent discrimination.

Privacy: The widespread use of AI involves the collection and analysis of vast amounts of personal data. Safeguarding privacy and ensuring data security are paramount.

Accountability: As AI systems make more decisions, determining accountability for errors or unintended consequences becomes complex. Clear regulations and ethical guidelines are necessary to address these issues.

The Future of AI

The future of AI holds tremendous potential. Advances in AI research are likely to lead to even more sophisticated systems capable of solving complex problems. Here are some exciting possibilities:

General AI: While current AI systems are designed for specific tasks, the development of general AI, which can perform any intellectual task that a human can, remains a long-term goal. Achieving this could revolutionize every aspect of our lives.

AI and Creativity: AI is beginning to demonstrate creative capabilities, from composing music to generating art. Collaborative AI tools could enhance human creativity in ways we cannot yet imagine.

AI in Space Exploration: AI can play a crucial role in space exploration, from autonomous rovers on Mars to advanced data analysis for understanding the universe.

AI for Social Good: AI has the potential to address global challenges, such as climate change, poverty, and healthcare access. AI-driven solutions can help create a more sustainable and equitable world.

Conclusion

Artificial Intelligence is no longer a futuristic concept; it is a transformative force that is reshaping our world. As we continue to harness its power, it is vital to navigate the challenges and ethical considerations to ensure that AI benefits all of humanity. The journey of AI is just beginning, and its potential to drive positive change is limitless.

1 note · View note

e2matrix · 4 months

Text

The Expanding World of Machine Learning

Machine learning (ML) is at the heart of today’s technological revolution, driving innovation and transforming industries. By enabling systems to learn and improve from experience, machine learning is paving the way for advancements in artificial intelligence, data analysis, and automation. At E2matrix, we are dedicated to pioneering cutting-edge solutions and providing comprehensive support for projects and research in machine learning.

Project in Machine Learning

Embarking on a project in machine learning can be both exciting and challenging. At E2matrix, we offer extensive resources and guidance to help you navigate this complex field. Our support encompasses a wide range of machine learning applications, from developing sophisticated algorithms to implementing real-world solutions in various domains such as healthcare, finance, and automotive industries.

Machine Learning Project Topics

Selecting the right project topic is crucial for anyone looking to make a significant impact in the field of machine learning. Here are some compelling machine learning project topics currently at the forefront of research and development:

Natural Language Processing (NLP): Developing models for language understanding, translation, sentiment analysis, and conversational agents.

Image and Video Processing: Creating algorithms for image recognition, object detection, video analytics, and augmented reality applications.

Predictive Analytics: Utilizing machine learning to predict trends, behaviors, and outcomes in various sectors such as finance, healthcare, and marketing.

Reinforcement Learning: Exploring reinforcement learning techniques for applications in robotics, gaming, and autonomous systems

Healthcare Diagnostics: Implementing machine learning models for early disease detection, personalized treatment plans, and medical imaging analysis.

Latest Research Topic in Machine Learning

One of the most exciting and latest research topics in machine learning is “Explainable AI (XAI).” As machine learning models become increasingly complex, understanding and interpreting their decisions becomes crucial. XAI focuses on developing methods to make the inner workings of these models transparent and comprehensible to humans. This research aims to build trust, ensure accountability, and facilitate the adoption of AI systems across various sectors.

Ph.D. Thesis Writing Services in Ireland

For Ph.D. students in Ireland specializing in machine learning, E2matrix offers comprehensive thesis writing services. Our team of experienced researchers provides personalized assistance throughout the entire thesis writing process, from topic selection and literature review to data analysis and manuscript preparation. We ensure that each thesis meets the highest academic standards and reflects the latest advancements in the field of machine learning.

Trending Research Topic in Machine Learning

A trending research topic in machine learning is “Federated Learning.” This innovative approach involves training machine learning models across decentralized devices while keeping the data localized. By doing so, federated learning enhances data privacy and security, making it particularly relevant in sensitive domains such as healthcare and finance. Researchers are exploring ways to improve the efficiency, scalability, and robustness of federated learning systems.

In conclusion, the landscape of machine learning is vast and ever-evolving, offering limitless potential for transformative projects and research. At E2matrix, we are dedicated to supporting innovators and researchers in their journey to push the boundaries of what’s possible with machine learning. Whether you’re working on a groundbreaking project or crafting a meticulous Ph.D. thesis, we are here to help you succeed and contribute to the exciting future of intelligent technology.

0 notes

reportprimerahul · 1 year

Text

Percutaneous Puncture Surgery Robot Market Size, Type, segmentation, growth and forecast 2023-2030

Percutaneous Puncture Surgery Robot Market

The Percutaneous Puncture Surgery Robot Market is expected to grow from USD 2.00 Billion in 2022 to USD 3.40 Billion by 2030, at a CAGR of 6.80% during the forecast period.

Percutaneous Puncture Surgery Robot Market Size

Percutaneous Puncture Surgery Robot is a medical robot that is used in minimally invasive procedures to puncture organs such as the prostate, lung, kidney, and pancreas for various applications including cancer treatment. The global market research report for this robot is segmented based on type, application, region, and market players such as Biobot, NDR, iSYS Medizintechnik, Perfint, and Perfint Healthcare. Regulatory and legal factors specific to market conditions, including government policies, rules, and regulations, also play a key role in the growth of the market. The report covers market trends, growth factors, challenges, opportunities, and competitive landscape analysis of the Percutaneous Puncture Surgery Robot market. The North American, Asian Pacific, Middle Eastern, African, Australian, and European markets are studied in detail to provide insights into market demand, supply, and revenue. This report also provides information on market share, market size, and future growth potential of the market.

Percutaneous Puncture Surgery Robot Market Key Player

Biobot

NDR

iSYS Medizintechnik

Perfint

Perfint Healthcare

Buy Now & Get Exclusive Discount on this https://www.reportprime.com/enquiry/request-discount/10428

Percutaneous Puncture Surgery Robot Market Segment Analysis

The Percutaneous Puncture Surgery Robot market has been gaining traction in recent years, driven by a variety of factors. One key factor is the increasing prevalence of chronic diseases, such as diabetes and heart disease, which often require frequent and accurate needle injections. Meanwhile, the aging population in many parts of the world is fueling demand for more precise and minimally invasive surgical procedures.

The market for Percutaneous Puncture Surgery Robots is also being driven by technological advancements. Robots in this space are becoming increasingly intuitive and advanced, with features such as real-time imaging and automatic needle adjustment. As the technology continues to improve, these robots are expected to become even more precise and efficient, further expanding their potential use cases.

One of the latest trends in the Percutaneous Puncture Surgery Robot market is the integration of artificial intelligence (AI) and machine learning (ML) algorithms. These technologies are being used to improve the speed and accuracy of robotic needle placement, as well as to detect and prevent complications such as bleeding. As more research is done in this field, we can expect to see even more advanced AI/ML-powered surgical robots emerge.

However, there are also a number of challenges facing the Percutaneous Puncture Surgery Robot market. One major challenge is the cost of these devices. While the technology is highly effective, it can be expensive to develop and implement, which may limit access to patients who need it most. At the same time, there is a shortage of skilled surgeons who are trained to use these robots, which could hinder adoption.

In conclusion, the Percutaneous Puncture Surgery Robot market is poised for growth in the coming years, driven by a combination of factors including increasing prevalence of chronic diseases, technological advancements, and advancements in AI/ML algorithms. While there are still challenges facing the market, such as cost and surgeon training, we expect that continued innovation and investment will overcome these obstacles and enable this technology to reach even more patients in need.

This report covers impact on COVID-19 and Russia-Ukraine wars in detail.

Purchase This Report: https://www.reportprime.com/checkout?id=10428&price=3590

Market Segmentation (by Application):

Lung Cancer

Breast Cancer

Prostate Cancer

Information is sourced from www.reportprime.com

#business #market growth #market research #market strategy #marketing analytics

0 notes

it-management-consulting · 4 years

Text

Author: Dr. Sri Gaddam (Doctor of Management), CEO, ERPA Group

The phrase “Internet of Things” was coined back in 1999 by MIT researcher Kevin Ashton. Since then, this phrase has evolved, and it now focuses on every type of item that has smart capabilities and which can be controlled in one way or another over the internet. Devices that are a part of the Internet of Things ecosystem usually have sensors that gather, share or store data that can be spread online.

According to the Gartner research firm, there are roughly 10 billion smart, connected items that are a part of the Internet of Things ecosystem. These range from industrial robots to door locks, smoke detectors, toasters, smart cars, trains, heart monitors and so on. Mackenzie Global Institute estimated that the total Internet of Things market might reach $11.1 trillion by 2025.

Smart Cities

As technology evolves, cities will start adopting smart technologies naturally. Cities around the world are investing in “start city” initiatives to improve citizen services, traffic control, utility consumption and quality of life. Cities will start automating, collecting, and managing data remotely as taxis, bike rental stations and even surveillance systems will be interconnected. This will make it easier to track a person, but it will also offer more convenience and value for the user at the same time. We might even be able to eliminate gridlocks since cars will be interconnected and keep the right distance between one another.

Smart homes

We are still ways away from having a Jarvis, however houses are becoming a lot smarter. A Mackenzie study reveals that an adoption of Internet of Things applications in homes for chore automation, energy management, safety and security alone can make an economic impact of over $200 billion by 2025. The Internet of Things will help trim the average costs by monitoring devices and whenever something feels off, you will be required to repair it. That will trim the average maintenance costs and time up to 20%, sometimes even more than that. The Internet of Things my sound a great opportunity and very attractive to the consumers due to its enormous benefits in terms of ease of use, quality of life, efficiencies, and cost savings. However, in the short -term consumers may be hesitant to adopt Internet of Things based applications until they feel secure and comfortable to share their data and privacy.

Smart manufacturing

A Mackenzie study reveals Internet of Things applications in factory settings has a potential to create up to $3.7 trillion by 2025, as a result of using sensors data to remotely track, monitor and adjust machinery at different parts of the plants or even across plants. The robots are already playing a critical role in the factory automation, predictive maintenance, and operations optimization. Also, Internet of Things applications would allow machines to interact with one another, making it very simple to fully automate an entire production line. People would focus more on tracking problems and designing, as the manufacturing process will eventually become fully automated. Home robots will become a thing soon, and they will have full connectivity thanks to the Internet of Things. We can expect these to be autonomous and to provide us with ways to save time while still completing menial tasks. At first these robots will focus on a single task, but they will surely evolve in the long run.

Healthcare Internet of Things

We can expect patient data to be in the cloud and readily available on any doctor’s device as needed. Smarter medical devices facilitate remote monitoring and patients improved connection with the doctors, and the care of chronic diseases, and that alone can make a huge difference. Since most medical devices will be interconnected, it might reduce human errors and inefficiencies, we might even receive AI suggestions to what medical treatments will better serve a person. Internet of Things can play a key role in optimizing pharmacy research, clinical trials, and manufacturing, resulting in lower drug prices.

Privacy concerns

We will constantly pursue the idea of creating faster, better networks that support more IoT devices. Faster networks will help acquire and study data quickly, which means a much better user experience for any smart device. At the same time, the more devices are connected to each other and to the internet, the more personal privacy, confidentiality, and integrity of data concerns appear. Something like this means a lot of people will be worried that their personal data will be stolen or accessed by unlawful people. Most importantly, IoT concerns about cybersecurity introduces new risks associated with home security systems, personal data theft, disrupted health monitors, attack on power grids, etc., can create massive economic harm and threats to human health and safety. The consumers may not be able to adopt IoT systems unless they believe that their data is safe and secure form the cyber security breaches.

Conclusion

The future is bright, and we believe that the Internet of Things will have a great impact on all of that. Does Internet of Things have the potential to really change our lives? Absolutely, but this also comes with its fair share of challenges. We believe that eventually the Internet of Things will help us improve the way we work and live, however we still need to monitor it and not leave everything under its control. Technology can be a great thing, but it can also be dangerous. That is why the smart thing to do is to bring in the Internet of Things technologies gradually into the mix, test them and then make them public. The potential is amazing, but a cautious implementation will help keep things safe for everyone!

About the author

Dr. Gaddam is a seasoned entrepreneur who launched three successful technology companies in the last seventeen years. Dr. Gaddam’ s greatest accomplishment lies in raising ERP Analysts, Inc. from a two-person organization to eighty-five million firms. ERP Analysts, Inc. has been recognized as one of the fastest-growing companies by Inc. 5000 for ten years, Deloitte Fast 500, & Business First Fast 50 for several years. ERP Analysts is recognized as a “Best Places to Work” in Ohio for several years (erpagroup.com). Dr. Gaddam graduated the Doctor of Management (DM) from Case Western Reserve University, MBA from the Ohio State University, and the Owner/President/Management program (OPM 43) from Harvard Business School. He is the author of the book “Destination Success: Discovering the Entrepreneurial Journey” and also co-author of “Roadmap to Success,” with Deepak Chopra, Ken Blanchard, and other entrepreneurial leaders.

#erpa faster networks healthcare internet of things Privacy concerns smart cities smart homes Sri Gaddam

1 note · View note

techscimarketresearch · 4 years

Text

Robotics Market to Grow at a CAGR of 4.91 % until 2026 | TechSci Research

Increase in the demand for automated systems and safety concerns for different online platforms to boost the global robotics market through 2026.

According to TechSci Research report, “Global Robotics Market By Component (Hardware and Software), By Type (Articulated, Cartesian, SCARA, Cylindrical and Others), By End User (Healthcare, Media & Entertainment, Aerospace & Defense, Logistics, Automotive and Others), By Region, Competition, Forecast & Opportunities, 2016-2026’’, the Global Robotics Market is projected to cross USD68.246 billion by 2026 at a CAGR of 4.91%, on account of the growing demand for robotic systems in defense for unmanned missions and the developing research activities linked with new robotic product launches. Moreover, the growth in the usage of robotic procedures in the healthcare sector for assisting with surgeries, public relationships, personnel care, etc. will positively influence the Global Robotics Market in the upcoming years.

Browse 107 Figures spread through 110 Pages and an in-depth TOC on "Global Robotics Market"

https://www.techsciresearch.com/report/robotics-market/7279.html

The Global Robotics Market can be segmented based on component, type, end-user and region. In terms of component, the market can be branched into hardware and software. The software segment has a market share of 50.77% in 2020 due to the high demand for different automation and simulations in the healthcare, defense, security and education sectors in growing economies. The increase in the use of robotic systems with the growth of new Artificial Intelligence (AI) technology across the world is driving the software segment of the Global Robotics Market.

On the basis of type, the market is segmented into articulated, cartesian, SCARA, cylindrical and others (spherical, delta, parallel, etc.). The articulated segment has 55.56% of the market shares in 2020 owing to more degrees of freedom than other robot types. This robotic system is designed to mimic the human arm, thus positively shaping their growth in the Global Robotics Market.

Based on End User, the market can be bifurcated into healthcare, media & entertainment, aerospace & defense, logistics, automotive and others (food & beverages, electronics, machinery, etc.). The healthcare segment accounts for the largest market share of 32.18% due to the increase in demand for the accuracy, precision and remote treatments, mainly after the COVID-19 pandemic.

In the Global Robotics Market, Asia-Pacific is the largest contributor with 35.27% of market shares in 2020. China is the largest contributing country in the region for the forecasted period, followed by South Korea, Japan, India and Australia. Being the world’s largest robotics manufacturers and exporter, China’s growing urbanization and research technologies are contributing to the country’s leading market position. Meanwhile, India is at fourth position after South Korea and Japan in terms of manufacturing robots and is growing at a quicker pace as the research and development sectors are emerging in the upcoming years.

Download Sample Report @ https://www.techsciresearch.com/sample-report.aspx?cid=7279

Customers can also request for 10% free customization on this report.

Sony Corporation, Midea Group Co. Ltd., Honda Motor Co. Ltd, Siemens AG, DENSO Corporation, Rockwell Automation Inc., KION Group AG, Seiko Epson Corporation, Yamaha Motor Co. Ltd., ABB Ltd., etc. are among the leading players operating in Global Robotics Market. Companies operating in the market are using organic strategies, partnerships and collaborations to boost their shares in Global Robotics Market. Significant players in the market are concentrating on accomplishing ideal operational expenses, upgrading the system efficiency, enhancing precision in responses, boosting productivity with high funding in R&D, and merging with small players to support in the competitive robotics market.

“Increasing technological advancements across major developed as well as developing countries coupled with an increasing demand for simulation and automation systems across the globe are boosting the Global Robotics Market. The need for manufacturing of miniature, inexpensive and energy efficient robotics solutions for a wider consumer base is a boosting factor for the market globally. Moreover, growing innovation in the design of robotics systems has also been positively influencing the market with a continuous urge for launching new products in the upcoming years.”, said Mr. Karan Chechi, Research Director with TechSci Research, a research based global management consulting firm.

“Global Robotics Market By Component (Hardware and Software), By Type (Articulated, Cartesian, SCARA, Cylindrical and Others), By End User (Healthcare, Media & Entertainment, Aerospace & Defense, Logistics, Automotive and Others), By Region, Competition, Forecast & Opportunities, 2016-2026’’ has evaluated the future growth potential of Global Robotics Market by providing the statistics and information on market size, structure and future market growth. The report intends to provide cutting-edge market intelligence and help decision makers take sound investment decisions. Besides, the report also identifies and analyses the emerging trends along with essential drivers, challenges and opportunities in the Global Robotics Market.

Related Report:

Global Surgical Robots Market By Component (Systems, Instruments and Accessories, Services), By Mechanism of Control (Computer Control, Direct Telemanipulator), By Application (Orthopedic Surgery, Endometriosis, General Surgery, Neurosurgery, Thoracic Surgery, Colorectal Surgery, Gynecology, Heart Surgery, Urologic Surgery and Others), By End User (Hospitals & Clinics and Ambulatory Surgical Centers), By Region, Competition, Forecast & Opportunities, 2025

https://www.techsciresearch.com/report/surgical-robots-market/4613.html

Global Telepresence Robots Market By Component (Head v/s Body), By Type (Stationary v/s Mobile), By Application (Education, Healthcare, Enterprise, Homecare, Others), By Company, By Region, Forecast & Opportunities, 2026

https://www.techsciresearch.com/report/global-telepresence-robots-market/1319.html

About TechSci Research:

TechSci Research is a leading global market research firm publishing premium market research reports. Serving 700 global clients with more than 600 premium market research studies, TechSci Research is serving clients across 11 different industrial verticals. TechSci Research specializes in research-based consulting assignments in high growth and emerging markets, leading technologies and niche applications. Our workforce of more than 100 fulltime Analysts and Consultants employing innovative research solutions and tracking global and country specific high growth markets helps TechSci clients to lead rather than follow market trends.

Contact

Mr. Ken Mathews

708 Third Avenue,

Manhattan, NY,

New York – 10017

Tel: +1-646-360-1656

Email: [email protected]

Website: https://www.techsciresearch.com/

TechSci Blog: https://techsciblog.com/

#Global Robotics Market #TechSci #Market Research Reports #Robotics Market #Robotics Market Size #Robotics Market Share #Robotics Market Trend #Robotics Market Growth #Healthcare

0 notes

techsciresearch · 4 years

Text

Robotics Market to Grow at a CAGR of 4.91 % until 2026 | TechSci Research

Increase in the demand for automated systems and safety concerns for different online platforms to boost the global robotics market through 2026.

Browse 107 Figures spread through 110 Pages and an in-depth TOC on "Global Robotics Market"

https://www.techsciresearch.com/report/robotics-market/7279.html

Download Sample Report @ https://www.techsciresearch.com/sample-report.aspx?cid=7279

Customers can also request for 10% free customization on this report.

Related Report:

https://www.techsciresearch.com/report/surgical-robots-market/4613.html

https://www.techsciresearch.com/report/global-telepresence-robots-market/1319.html

About TechSci Research:

Contact

Mr. Ken Mathews

708 Third Avenue,

Manhattan, NY,

New York – 10017

Tel: +1-646-360-1656

Email: [email protected]

Website: https://www.techsciresearch.com/

TechSci Blog: https://techsciblog.com/

#Global Robotics Market #TechSci #Market Research Reports #Robotics Market #Robotics Market Size #Robotics Market Growth #Robotics Market Trend #Healthcare #Robotics Market Forecast #Robotics Market Share

0 notes

pharmaphorumuk · 5 years

Text

Four ways AI and machine learning will transform healthcare in 2020

From AI assisted robotic surgery to clinical diagnosis, image analysis and administrative tasks, the use of artificial intelligence and machine learning (ML) technologies is increasing within healthcare. In fact, 75% of healthcare enterprises are planning to execute an AI strategy next year, whether that’s exploring how it can automate critical but repetitive tasks to free up time for clinicians, how automatic speech recognition can speed up disease diagnosis, or how it can create synthetic controls for clinical trials. 2020 holds great opportunity to further unleash its potential.

With this in mind, we spoke to several industry experts operating in the AI and ML space for healthcare and life sciences, to explore the key trends and challenges we can expect to encounter in 2020.

More effective deployment of AI tools will become a focus

Firstly, when executing an AI strategy, organisations within the industry will start to focus to a greater extent on where AI/ML technologies can be used most effectively, and how to deploy them for maximum benefit in real clinical scenarios.

This will require careful consideration around how tools are implemented across various areas of healthcare, and for Mario Nacinovich, global head, communications & marketing at AiCure – which uses AI to see, hear and understand how patients respond to treatment – there are different challenges associated with each area.

“From a societal standpoint, building greater trust in AI and protecting personal healthcare data will continue to be among the omnipresent challenges. From an administrative standpoint, making it easier for AI to integrate with existing technology infrastructure will certainly help adoption.”

“AI will play a critical role in understanding how a drug is performing in real-time and how patients are responding in clinical research including medication adherence and their behaviour” Mario Nacinovich

Overarchingly, though, he believes that deploying AI capabilities more effectively comes down to “ensuring that back-end processes gain greater efficiencies” in order to reduce timescales and provide better outcomes for patients.

The idea of effective deployment is also one which Eyal Gura, CEO and co-founder of Zebra Medical Vision, an imaging analytics platform which uses AI, believes will become a focus in 2020: “Having a single AI solution that integrates seamlessly into existing workflows at an affordable rate will be critical in supporting clinicians in delivering better patient care.”

As Gura explains, with two billion people joining the middle class, a rising ageing population and the growing shortage in medical experts, “AI will be critical in enabling communities to provide productive and consistent health services”.

AI will be increasingly applied to imaging diagnostics

Charles Taylor, co-founder of HeartFlow, which has developed a noninvasive test that helps clinicians to understand the severity of coronary heart disease, believes that we are only just beginning to see the full benefits of what medical imaging and AI can do for diagnostics.

“Right now, we’re able to use medical imaging and AI to give physicians unprecedented insight into potentially life-threatening restrictions on blood flow within the body,” he says. “But we’ve only just scratched the surface of what integration between information technology, computers and healthcare can achieve, and the expectations are high.”

Dr Michalis Papadakis, CEO and co-founder of Brainomix – spun out of the University of Oxford – also believes we can expect to see AI and ML “become the driving force behind imaging diagnostics”.

“With around 780,000 people suffering a stroke each year in Europe, and 7.4 million people living with heart and circulatory diseases in the UK, it is imperative we find ways to reduce the burden on healthcare organisations and improve time to disease detection.

“The number of MRI and CT scans, for example, is already on the rise, and AI has the ability to read scans as accurately as an expert physician. Utilising these new technologies to review scans for any disease can reduce patient wait time and ease the burden on medical staff. There will be greater recognition next year of the value of AI in augmenting human performance.”

Novel and digital biomarkers will support disease diagnosis

Being able to unlock new biomarkers is crucial in diagnosing diseases, and AI/ML technology has the power to enhance the use of biomarkers. One area that biomarkers are being used to great effect is in the diagnosis of Alzheimer’s and Dementia. Dr Steven Chance, CEO at Oxford Brain Diagnostics, explained that the company is focused on improving the treatment of Alzheimer’s by using ML to analyse MRI scans of the cerebral cortex, enabling early and accurate detection. He says: “Dementia remains highly complex in nature and requires extensive collaboration to succeed. Urgent action to address these challenges is needed today.”

He also explains that “unlocking new biomarkers, leveraging smarter science and deploying funds where they are needed most may give the industry a chance to defeat the terrible condition. We must re-focus our efforts and move quickly now towards examining the disease much earlier, allowing novel biomarkers to measure the progression more accurately and develop specific and targeted drug treatments for the range of dementias that exist.”

Francesca Cormack PhD, director of research & innovation at Cambridge Cognition, is also focused on digital biomarkers and the use of AI/ML for detecting neurodegenerative conditions such as Alzheimer’s.

“The upward trajectory of digital capabilities over the last decade, combined with the widespread adoption of devices, has augmented biological markers with digital measures of disease progression,” she says.

“In our field, it is now possible to use AI to enrich cognitive test scores with metrics that indicate cognitive effort, i.e. the unique features of a patient’s voice that reveal when they are finding it particularly challenging to perform a task. Patients who are ostensibly performing within normal ranges but struggling to maintain that performance are likely suffering with the early stages of decline and could benefit from interventions that might slow or prevent further neurodegeneration.

“Over the next year, we expect to see improvements in the precision of digital biomarkers for rapidly detecting neurodegenerative conditions such as Alzheimer’s disease. The ultimate goal is to integrate digital biomarkers into clinical care and improve patient outcomes.”

Clinical trials will continue to be transformed

Finally, there is huge potential for AI and ML to continue to transform clinical trials. As Mario Nacinovich explains: “Once identified and recruited, one of the biggest challenges in clinical trials is keeping subjects engaged and optimised to treatment. Medication non-adherence has been shown to increase variance, lower study power, and reduce the magnitude of treatment effects. AI will play a critical role in understanding how a drug is performing in real-time and how patients are responding in clinical research including medication adherence and their behaviour.

“The adoption of new technologies in 2020 and beyond have the potential to provide clinicians with improvements in overall patient engagement, outcomes, quality of life, practicality in use, and reduce clinical development time and associated costs.”

To conclude, Eyal Gura’s insights provide a concise summary of what we can expect to see from the AI and healthcare industries in the near future: “From medical imaging analysis to sensors and smart alerts, we are going to witness more improved and personalised care. In 2020, we will see AI in deployment of hundreds of health networks globally and impact on millions of patient lives. AI has the power to transform patient care and empower radiologists to help with patient diagnosis.”

The post Four ways AI and machine learning will transform healthcare in 2020 appeared first on .

from https://pharmaphorum.com/digital/four-ways-ai-and-machine-learning-will-transform-healthcare-in-2020/

0 notes

actutrends · 5 years

Text

How tech is catering to the elderly and caregivers

At CES 2020, tech’s biggest trade show, it was heartening to see that the tech industry is paying attention to the needs of the elderly and the younger people who provide care for the elderly.

I’ve paid attention to this since my 86-year-old mother has severe dementia and lives in a memory care home in Silicon Valley. For years, I couldn’t find any technology that she could handle or that could make my life easier. But I’m happy to see that many tech companies now get it. Our generation is about to be overwhelmed with caregiving tasks for the elderly, and we need some help.

CES 2020 had 2.9 million square feet of space and 4,500 exhibitors in Las Vegas. Most of the tech for the elderly was in the health and wellness marketplace in the Sands Expo, which was up 25% in exhibitors and 15% in square footage.

“The role technology will play in health monitoring and self-treatment is already in great demand for eldercare and to anyone that needs to keep track of their health,” said Tim Bajarin, an analyst at Creative Technologies who has attended 50 CES events over the decades, in an email. “It will be one of the more important growth markets in tech in the next 20 years.”

I noticed the trend at CES 2019, and what was different compared to the past is that it wasn’t just startups with attentive CEOs who were coming up with these products. Big companies were paying attention as well to the human side of technology, from sex tech to mom products. And it makes sense.

The elderly are a big market

Above: Samsung’s Ballie can offer alerts for senior caregivers.

Image Credit: Samsung

The American Association of Retired Persons said in “2019 Tech Trends and the 50 ” that 115 million Americans over 50 represent an enormous market for technology and that by the end of the next decade this group is projected to spend $84 billion on tech products.

One of the problems is that technologists have been designing cool products that don’t resonate with older people. Jitterbug created its retro cell phones because fancy products like the iPhone just weren’t designed for older people. And some of the products also weren’t designed with much younger caregivers in mind either.

“Social robots have struggled to find a home in recent years,” said Steve Koenig, vice president of market research at the Consumer Technology Association, in a press briefing. “If you have an aging loved one at home, you want the peace of mind to know that their medication was dispensed. Treating people, like seniors with Alzheimer’s, requires a focus on the human-machine interaction.”

Apple didn’t appear at the show, but its Apple Watch and iPhone products keep adding new capabilities for detecting health problems, such as atrial fibrillation (via ECG), a life-threatening condition caused by an irregular heart rate. (I used my iPhone/Apple Watch to figure out that I walked 37 miles at the show.)

The media also did a better job focusing on stories about the elderly and caregivers.

Designing with caregivers in mind

Above: Gillette Treo is designed for caregivers.

Image Credit: Gillette

Procter & Gamble showed off the Gillette Treo, a razor that is designed for a caregiver to shave an elderly person. In all of its 182-year history, P&G’s Gillette brand has never created a razor for someone to shave someone else. One of its features is that it has a tube filled with shaving cream that you can dispense while you’re shaving someone, so you don’t have to go get a can of shaving cream.

“The overall objective is to bring to life the product innovation and the human insight that we’re bringing to show consumers,” said Guy Peri, vice president and chief data & analytics officer at P&G Information Technology, in an interview with VentureBeat.

And Samsung digital health vice president Natalie Schneider spoke alongside Jo Ann Jenkins, AARP CEO, on the topic of the “longevity economy” in a talk at CES. The idea is that companies can profitably target the elder generation, which is about to become a huge population as the baby boomers retire. The AARP also showcases the wares of seven healthcare startups at its booth at CES.

Samsung itself had its Ballie rolling robot, which can detect a fall in a home and roll over to ask the person if it should call 911.

youtube

One of the winners at Last Gadget Standing, one of the big awards contests at CES, was MedWand, a handheld medical testing device created by Samir Qamar and his team. MedWand is a small connected device with a camera. The four-ounce device can perform 10 different tests, including heart rate, temperature, and electrocardiogram (ECG). It is targeted at people in homes, hospices, and eldercare facilities and enables them to share exam results remotely with their doctors in real time.

Withings introduced the new ScanWatch that checks for sleep apnea and also takes ECG readings. And Omron Healthcare is now selling its FDA-cleared wearable blood pressure monitor for $500.

Improving hearing aids

Above: Nuheara’s IQbuds2 Max lets you personalize your soundscape.

Image Credit: Nuheara

Since the U.S. revised its laws regarding hearing aids, a lot of change has been happening in that market. You no longer have to go to an audiologist to purchase hearing aids, and that is expected to bring the price down. (I paid $5,000 for my mother’s hearing aids from Hearwell.)

I used Nuheara IQbusd2 Max earbuds to listen to people speaking to me at different parties at CES. It worked pretty well, and made me notice that, even though my hearing is pretty good, devices like these $400 earbuds can help me hear better in challenging environments such as parties or restaurants.

Zvox is also seeking to bring down the cost of hearing aids with app-enabled hearing aids. And Phonak, a hearing aid brand owned by the Swiss company Sonova, actually took molds of my ears to create custom hearing aids. The latter is an example of a traditional hearing aid maker moving to the high end to provide better quality at a higher price. Its Virto Black hearing aids aim to deliver customized hearing solutions that are far above what others can do in quality.

Designed with human interests at heart

Above: Buddy detects if an elderly person falls and helps get aid.

Image Credit: Live Freely

LiveFreely announced Buddy, a software-based system for wearables to help detect falls and notify caregivers or 911 of an emergency. It was created by brothers Arthur and Daniel Jue, who faced personal challenges in taking care of their own parents.

In an interview with VentureBeat, CEO Arthur Jue said their father had a stroke on Valentine’s Day in 2009. He had told the family to go to a dinner event without him and said he was going to lie down. They offered help, but he declined. When they returned, they found he had had a stroke and couldn’t move. They had to carry him to the car and take him to the hospital.

Ejenta is working on a system for remote health care, collecting biometric data from a variety of sources such as smart clothing or phones. It is modeled after a program designed by NASA for astronauts.

Boston-based Loro created an assistant in the form of a parakeet that rests on the shoulder of a wheelchair user. It is like an extra set of eyes, trained to recognize objects. It also has a tablet that helps someone communicate if the person cannot do so on their own.

Vayyar also had a second, less expensive and more compact version of its fall detection sensor. And Smardii showed off a connected diaper.

CarePredict has a wearable that tracks things like sleeping, walking, and vitals. It is also working on AI to detect problems such as depression.

Japan’s Xenoma created e-skin, or pajamas for elderly people. These have sensors to detect vitals and sleep patterns, as well as falling.

Tivic won one of the Innovations Awards for treating allergic rhinitis. Reliefheat.com had a portable heating pad controlled by Bluetooth and an app that would be great for caring for seniors who have back pain. Dexcom and Freestyle showed off continuous glucose monitors, which are helpful for people with diabetes.

“I use the Dexcom CGM, and it is the most important health-tracking tool I have,” Bajarin said.

Smart homes to help the elderly live where they are

youtube

The ambition behind technology for eldercare is growing. Akio Toyoda, CEO of Toyota, noted in his press event at CES that elderly people can receive better care in a place like Toyota Woven City, a connected community that the company is building on a former Toyota factory site.

Technis uses sensors to create smart floors, detecting how seniors are moving in the house and how often they use the bathroom. It also monitors how fast they are moving and uses AI to detect abnormalities that are worth alerts.

Papa also provides a service where older people can essentially rent grandkids, or young people who can serve as companions, tech fixers, and helpers.

K4Connect has created K4Community for senior living communities. It is built on an operating system that allows for the integration of biometric health devices and data, smart home automation, voice technology (such as Amazon’s Alexa), and communication devices (of any brand, make, or model). The aim is also to help the elderly population live more independently, both more safely and healthier, for longer periods of time.

And Sekisui had an ambitious “platform house concept,” which would allow seniors to live independently for a longer time while being monitored closely. Working with MIT, the Sekisui House uses ceiling sensors to monitor a person’s heart rate. It will call for help and unlock the doors for emergency crews if someone is in trouble.

I can appreciate these advances. When my mother broke her wrist recently, she wasn’t wearing her wrist band. So the caregivers at the home didn’t realize she had fallen for a while.

I took her to see a bone doctor. He had her put her wrist on a platform, and we were immediately able to see an X-ray of the fracture. He didn’t have to develop the film or wait for the X-ray to be processed. It was visible in real time, and that helped us get out of the doctor’s office as fast as possible.

The post How tech is catering to the elderly and caregivers appeared first on Actu Trends.

0 notes

web-apps-blog · 5 years

Text

News.com.au: Why robots could soon replace our doctors

Divlin Yasa DOES the possibility of C-3PO standing by the side of your hospital bed, his gold metal fingers operating on your heart, fill you with dread or with hope? What about the idea of sitting down on the psychologist’s couch with Data to talk through your feelings, or getting Wall-E to help look after your elderly parents in a nursing home?It may sound far-fetched, but there are those within the medical profession who say the role of doctor or surgeon could one day be close to redundant, overtaken by forms of artificial intelligence (AI) that can diagnose and treat illness and injury better than any human medical professional could. This new reality could be just a decade or two away.In fact, in many areas of the healthcare system, the rise (and rise) of AI has already begun.STATE OF PLAYAS A world-renowned AI scientist, University of New South Wales professor Toby Walsh has likely had to say, “Don’t panic!” on a regular basis recently. “I don’t think there’s going to be a shortage of doctors any time soon - patients will always seek out other humans to interpret information or to deliver bad news - but the balance of skills will change in a significant way,” he says.“I wouldn’t advise my children to specialise in pulmonary disease or radiology because these are areas leading the charge in the use of artificial intelligence,” he adds.“In fact, the best diagnostics we have for pulmonary disease today is a computer program.”The use of robotics in medical health isn’t new. Robots already lend a hand in spinal surgery, with models such as Renaissance allowing surgeons to place screws in spines with 99 per cent accuracy (9 per cent higher than conventional methods).The famous da Vinci surgical system (where surgeon’s hand motions are translated into smaller, more precise robotic movements) is now used across a wide range of procedures, from prostate cancer treatment to performing heart valve surgery.In the US, a robot called Watson assists in diagnoses and produces management plans for oncology patients by synthesising information from millions of reports, patient records, clinical trials and journals. Meanwhile, Woebot, the world’s first robotic therapist, has more than two million conversations a week.Although surgeons at the Children’s National Medical Center in Washington have recently developed a surgical robot (called STAR) which can suture soft tissue, Walsh says we’re still years away from having the aforementioned C-3PO-style robots in our theatres.“The feedback is that we still have a long way to go before we build enough dexterity and sensitivity in robots to perform the kind of work we’re all talking about,” he says.“At this point, there’s almost always a highly-skilled surgeon at the other end controlling what’s being done.”THE FUTUREIF WE look at the companies invested in healthcare AI (Google, Apple, Dell, HewlettPackard, to name a few), it’s clear the market is big business.So big, in fact, that according to market research company Frost & Sullivan, AI in the healthcare and life sciences sphere is projected to grow by 40 per cent per year, to $8.5 billion in 2021.There’s a new development every other day: The University of Adelaide recently announced that its AI system can predict a person’s life span just as well as a human doctor. Meanwhile, a paper published in the peer-reviewed journal JAMA showed that Google’s deep-learning algorithm can detect diabetic retinopathy with higher than 90 per cent accuracy. There’s much to anticipate, but what can we expect from AI in our hospitals?“We can soon expect to see that virtual reality has a place in training junior surgeons,” associate professor Susan Neuhaus, from The University of Adelaide, says.“There’s also augmented reality, where you make cancer margins visible in theatre so that you no longer have to wait for pathology to know whether you got it all out.”For Neuhaus, assisted decision-making is the holy grail of AI.“The idea that you could use AI with pattern recognition to search millions of databases, studies and textbooks to pull out every case of variability in a way I never could is fantastic. Will it happen in my time? I’m not sure, but I can certainly see it coming.”RISKS & DOUBTSDESPITE the allure of speedy healthcare, doubts about AI remain. Do we really want to put our lives in the hands of something that’s only one small glitch away from failure? And can AI deal with the differences in how diseases are diagnosed and treated around the world?Walsh has his concerns about tech giants procuring and owning our medical data, and poorer people missing out on AI access, but says such bumps in the road are to be expected early on.“If we look back at the industrial revolution, we endured 50 years of pain before we got adequate systems in place to deal with the new pace of life, and now we can’t imagine the world any other way,” he says.“I suspect that in 100 years we’ll look back at 2018 and marvel at how primitive we were.” His conclusion?“The positives almost certainly outweigh the negatives of AI.”Neuhaus is similarly optimistic, but warns that our greatest challenge may lie not in ironing out kinks to overcome current limitations, but in accepting that humans should have limitations.“Obviously AI is great - we have the ability to have artificial limbs attached and we can implant devices to help people walk again. These are fantastic inventions,” she says.“But at what point do we accept that from the moment we each arrive on this planet, we’re destined to die? Humans are good at skirting the issue but when all is said and done, it’s the one truth that can’t be ignored.”

0 notes

shenzhenblog · 6 years

Text

StartmeupHK Festival 2019 - Day 5 Highlights (25 Jan, Fri) - AI & Education

AI & Education looks beyond classic friend-or-foe relationship between AI and humans to explore how technology can make us better humans

On the final day of this year’s StartmeupHK Festival 2019, the AI & Education Conference, hosted by EdTech Asia, went beyond the classic friend-or-foe debate on the role of AI and discussed what would happen to people when AI starts to be integrated into workplace and how we augment what we do with AI. The essential message to emerge was nicely summarised by Diana Wu David, who recently released a new book Future Proof: “AI helps unlock a lot of potential. The future is not about being technical, but to be more human.”

After a welcome by Jayne Chan, Head of StartmeupHK at Invest Hong Kong, Mike Michalec, Founder and Managing Director of EdTech Asia recalled how EdTech Asia started off as a community network and grew into a collaborative learning innovation community across Asia.

Machines can now teach themselves to think

Duc Luu, Chief Strategy Officer of RISE Education told a story of how he turned from a dishwasher on a meager hourly wage into a successful tutor and entrepreneur. He founded The Edge in 2008, an education startup embodying what he believes education should be that rose to become Nasdaq-listed RISE Education in 2017. His advice to others is to choose your investors wisely, identify the total addressable market, examine your business model, and most of all “find your market and plough a truck through it.”

He took a deep dive into three kinds of AI learning style – unsupervised learning, supervised learning and reinforcement learning – along with their underlying mechanisms. At the cutting edge is reinforcement learning, which allows a machine to learn and evolve according to the feedback it receives from its environment as a result of its own actions. The constant improvement culminated in the remarkable defeat of 18-time Go world champion Lee Sedol by AlphaGo in 2016.

AI to eliminate tedious jobs, leaving creative ones to humans

Moderated by Uptin Saiidi of CNBC, the panel that followed saw Daniel Callaghan, Head of Adecco Group X, APAC; Yat Siu, CEO of Outblaze; Juliette Li, Regional Director of Navitas; Yoshi Okamoto, Founder and Executive Director of SHO-zemi Innovation Ventures and Jessica Kennedy White, EdTech Consultant taking education beyond school and discussing the impact of AI on the future of learning and work.

Uptin quoted a recent research report that predicted 50% of jobs will be outsourced to AI in 20 years and asked if the nature of future jobs will become more social and creative, or will we, as a workforce, be more reliant on data to create algorithms. Yat Siu of Outblaze believed that the future jobs would bifurcate – while repetitive jobs will be automated and taken up by machines, the human workforce would gear towards the creative side.

“Tools make it so easy… Everyone can be a photographer. It leads to ‘mass amateurisation’, so instead of having ten people do ten things, we can have one person do ten things,” he said, meaning that AI would act as a liberating force and leave us more time to learn and be more versatile.

Yat Siu’s comment struck a chord with Daniel Callaghan of Adecco Group X, who said: “You can’t fuel this paranoia with doomsday scenarios.” He quoted an unnamed source at the World Economic Forum: “If your child is between five to ten years old today, in 25 years’ time, about 60% of that child will be in a job that does not exist today.”

Unlikely capitalist: Transforming an NGO into a scalable and profitable startup

If surviving and growing a startup into a large profitable company is hard, starting as a non-profit organisation is even harder. Yet, while it may sound next to impossible, it is the natural course of action. “The only way to scale is to go for-profit,” said Steven To, VP Strategy and Operations of Onion Math. Formerly Sunshine Library, an NGO co-founded in 2011 by Yang Linfeng and Zhu Ruochen, graduates of Harvard University and Duke University respectively, the company turned into a for-profit business called Onion Math that provides videos and games to over 20 million students in both rural and urban areas of China to help them learn mathematics.

Having acquired the right users and maintained high quality at scale, while monetising products, Mr. To said the ultimate challenge is to bring educators, programmers and business leaders together to strike the right balance between ‘education’, ‘internet’ and ‘business.’ He said the recipe for success is to understand what lies at the heart of these – namely ‘impact’, ‘user’ and ‘profit’.

In an era of technology, soft skills strive

Next up was a panel discussion on big data for workforce analytics and career guidance with Pei Ying Chua, APAC Team Lead of Economic Graph Analytics at LinkedIn, Candace Cheung, Senior Manager of Strategic Marketing, Hong Kong of eBay and Dicky Yuen, Founder and Managing Director of Venturenix, moderated by Will Greene, Director, Tigermine Research.

LinkedIn manages a huge database covering over 519 million members, 30 million companies, 13 million jobs, 4,000 schools and 50,000 skills worldwide. It analyses all the data to understand the labour market dynamics by looking at the hiring rates, growth of different industries, migration patterns across countries and industries. By identifying the imbalance of supply and demand of talent and skill sets, it helps governments to formulate education policies to plug skill gaps, such as its partnership with SkillsFuture Singapore, a government initiative to help its workforce upskill to meet market needs.

In the private sector, Hong Kong-based Venturenix uses LinkedIn’s data to provide tailored recruitment services and training. By offering scholarships to graduates and placing graduates with potential employers, the company collects a percentage of the fees from the employers, thereby making learning affordable for students and supercharging their careers at the same time.

In addition to hard skills, LinkedIn also tracks soft skills. The company found that although that technical skills are of growing importance, soft skills like communication, leadership and management skills are what make people stand out from the crowd and make career advancements.

Future proofing and being human

Diana Wu David, author of Future Proof, concurred. Future-proofing refers to the process of anticipating the future and developing methods to minimise the effects of shocks and stresses of future events. Ms. David advocates moving beyond knowledge, which may become obsolete one day, to focus on connection and collaboration – what makes us human at the first place. By citing an example of how a recently launched VR-enabled speaking skill training software can help analyse speech pace and attention spent looking at the virtual audience, she illustrated that instead of trying to outcompete robots, we can make ourselves better humans with technology.

“The root of creativity is asking why – why is it the only way… It’s a sad irony that everyone in the tech space is actually repeating the same phrases,” said Jordan Kostelac, Director of PropTech of JLL Asia. He encourages people to embrace critical thinking, adding: “AI and algorithms tend to be more repetitive. Does it mean that doctors necessarily have to stick to the same diagnostics and treatments? No.”

He thought that people should not be worried about their job being taken away by computers. “Tedium is what’s being replaced,” he said. “The ability to repeat things is not the same as intelligence.”

On diversity and equality

A discussion on AI & ethics followed. Rachel Brujis, Head of International Market Development, UK Online Programmes of Pearson, Chris Geary, CEO of BSD Education, Raphael Nolden, CEO of Jaipuna, Son Minh Tran, Director of AI of Topica EdTech Group and Jessica Kennedy White, EdTech Consultant all stressed the importance of diversity and equality in the accessibility of education opportunities.

“Accessibility and costs go hand-in-hand. When you set up an educational organisation, it’s important that you set out your organisation’s mission. For us, it’s to ensure that children have access to digital skills,” said Mr. Geary. He went on to explain that the future of children nowadays hinges on the possession of digital skills. He also warned people not to misuse technology: “If you don’t know what you’re measuring, don’t measure people. Don’t over-measure people by fitting them into summative measures.”

Meanwhile, Mr. Nolden emphasised that it is important for software engineers to get to know the users when designing edtech products: “You might be experts (in technology), but you really know nothing about education. You have to work with teachers all the time, rather than seeing it as just yet another box to tick.”

Greater Bay Area as a global hub for technology

The day wrapped up with Philip Kung, Head of Business and Professional Services at Invest Hong Kong, Edward Chan, Senior Business Development Manager, Mainland and International of Hong Kong Science and Technology Parks and Data Ng, Representative, EdTech Subcommittee of Cyberport Startup Association. The session was moderated by Youssef El Kaddioui, Innovation Partner of Metta, featuring sharing from Bhavneet Chahal, Co-founder of GoSkills, as a beneficiary of supportive government policies in the Greater Bay Area.

Mr. Kung said: “If you want to grow your business, or if you want to commercialise your knowledge, products or services, Hong Kong, together with the Greater Bay Area, can help you achieve your goal.” He added that the most important element of the Greater Bay initiative is the establishment of an integral market. Large corporations, and medium and small startups alike, need to have technology, know-how, capital and vision to succeed. Above all, they have to be in the right market at the right time. Thus, the Greater Bay Area is where the opportunities lie and hence the ideal place for technology companies to set their bases in.

StartmeupHK Festival 2019 – Day 5 Highlights (25 Jan, Fri) – AI & Education was originally published on Shenzhen Blog

0 notes

energysolutions · 6 years

Text

Speech: Shaping the future of food and drink has been published on Energy Solutions News

New Post has been published on http://www.energybrokers.co.uk/news/beis/speech-shaping-the-future-of-food-and-drink

Speech: Shaping the future of food and drink

It’s fantastic to be with you today here at the British Museum.

If you asked someone on the street, ‘what’s the best-known item in this building?’, some might mention the mummies, some might name the Elgin Marbles…

But I think some would say the Rosetta Stone.

Found by one of Napoleon’s Lieutenants during his Egypt campaign of 1799, it was undoubtedly a great discovery.

Yet – just a few years earlier – in 1795 Napoleon was at the centre of what I think was an even greater discovery.

That year, Napoleon offered a prize of 12,000 francs to anyone who could solve an age-old problem and give his army an edge over his enemies.

Not a new weapon to outfight them.

Or new tactics to outsmart them.

But the ability to outlast them by keeping his army’s food fresher for longer.

In just over a decade a confectioner named Nicolas Appert had found the answer.

Through his method of heating, boiling and sealing food in airtight glass jars.

The same basic elements which keep canned goods fresh today.

It just goes to show that when political leaders create the right conditions for individuals and businesses to innovate the results can be astounding.

And I truly believe that when government and business work together in the right way we can do things we could never do on our own.

So today – I want to talk about how, through our Industrial Strategy, we are working with all of you in this room to help this amazing sector do even more.

Impact of sector

I’ve always appreciated the importance of this sector.

I was born and raised in the food and drink business with my father and grandfather’s dairy delivery round supplying our neighbours in Middlesbrough with fresh Yorkshire milk 7 days a week.

I know this same dedication exists all across the country.

Food and drink is the most geographically dispersed industry there is.

The FDF’s Ian Wright has a great fact, that there’s a food or drink manufacturing plant, with more than 50 employees, in every single UK constituency apart from Westminster.

From Scottish salmon farmers on the Isles of Mull and Harris in Scotland…

To workers in McVities’ Stockport factory, which makes 2 billion Jaffa Cakes a year…

The food supply chain employs nearly 4 million people.

The food and drink industry is the biggest manufacturing sector in the country, larger than automotive and aerospace combined.

And in the last 10 years UK food and drink exports have skyrocketed growing by well over 50%.

Every year, I hear these statistics at conferences like these.

But, ultimately, these statistics, and the impact they demonstrate, need to translate into respect and engagement.

Simply put – you deserve the same level of engagement, with all parts of government, that other successful industries, like automotive, aerospace, life sciences and financial services, have come to expect.

One way we’re putting this right is through the Food and Drink Sector Council.

I really think this is the beginning of something important.

Bringing together government departments, farmers and growers, food and drink manufacturers, the logistics industry, the hospitality industry, and others with a stake in this flourishing sector.

Everyone sitting around one single table agreeing one single set of goals and working together to achieve them.

The FDF has played an absolutely pivotal role in bringing this council to life.

And we’ll need your support to build its credibility.

So I’d encourage all of you here today to engage with its working groups. Make your voice heard and help transform the sector.

The next steps

One of the Council’s early tasks is to propose a Sector Deal to drive forward each aspect of our Industrial Strategy as it reflects food and drink.

I take this personally.

Michael Gove and I will jointly lead for the government on negotiating this.

And I’d like to thank Ian Wright and Tim Rycroft for the crucial co-ordinating role the FDF has played.

I want this to be a totemic deal that establishes the food and drink sector as an essential part of this country’s economic future.

Building on some big opportunities, which I know this sector is already seizing.

New technologies like AI and robotics are at the very heart of our Industrial Strategy.

And they’re already transforming this sector.

For example, a potato processing company is already using AI to work out which spuds would work best for chips and which for crisps.

Cutting waste and saving money.

While in Milton Keynes, The Co-op is using robots to deliver up to 10kg of shopping to homes within a 2-mile radius.

With the company’s 10 robots despatching around 1,000 orders since the app went live a month ago.

And – through our Industrial Strategy - we’re already supporting this sector in adopting new technologies.

Back in February, I announced £90 million of Industrial Strategy money, bringing together AI, robotics and earth observation to improve supply chain resilience in the agri-food sector.

This includes support for ‘innovation accelerators’ charged with exploring the commercial potential of new tech ideas at pace.

And alongside new technologies the deal should also have a strong focus on new markets.

With just 1 in 5 food and drink companies exporting there’s a big opportunity here.

Of course, many British brands are already renowned.

Ask people from around the world what food and drink they most associate with the UK and I think Scotland would come out on top.

Scotch whisky. Or Scottish salmon, for example.

And the way that Scotland has blended food and drink with tourism and hospitality is a great British success story in its own right.

Yet – increasingly, the world is taking interest in British brands from south of Greta Green.

Last year, London Popcorn firm ‘Propercorn’ was the fifth fastest-growing independent business anywhere in Europe.

Within 6 months of launching in Germany they were stocked in 1,000 locations.

And are now the number 1 premium popcorn brand anywhere in the country.

While in the South West, Wyke Farms are encouraging dairy farmers within 50 miles of their Bruton dairy to partner with them to satisfy the growing demand from a Cheddar-hungry global middle-class.

We need to look at how we can help other firms tickle customers’ taste buds the world over.

Staying competitive

But let’s not forget that 7 of your top 10 export destinations are in Europe.

And Brexit is one area, where it’s so important that we not only listen to your concerns, but act on them.

After all – you are the ones who, day in - day out – actually live the million complexities which make up the reality of food and drink trade.

I know that this morning you heard from Michael Creed from the Irish government.

And last month, I travelled to Belfast to hear from companies, including food and drink firms whose supply chains span the border between Northern Ireland and Ireland.

One of those companies was Diageo who make Bailey’s Irish Cream.

Bailey’s manufacturing process works on an all-Ireland basis.

With ingredients and packaging materials crossing the border multiple times.

Milk travels from Northern Ireland to Ireland for processing into cream, some of which is sent back to Northern Ireland.

Whiskey goes from south to north, and back again, while bottles go from north to south.

With such highly integrated supply chains it’s no surprise that companies like Diageo are concerned about the delays and costs that could be created by new customs processes.

And as we negotiate our new relationship with the EU, securing continued frictionless trade between Northern Ireland and Ireland, while avoiding hard border infrastructure, will be paramount.

I know that many of you are also concerned about the potential challenges of ‘Rules of Origin’ rules which determine a product’s economic nationality.

This issue was raised in a recent, insightful report commissioned by the FDF and the National Association of British and Irish Flour Millers which I read with great interest.

One case study in the report features a loaf of wholemeal bread sold under a household brand in the UK and exported to Ireland, an EU member state.

The wholemeal and white flour it contains is milled in the UK from a blend of grains from growers in Canada, the US and the UK reflecting both global price and harvest quality.

Yet in one post-Brexit scenario, the use of UK-milled flour, including any quantity of wheat grown outside the UK, would automatically disqualify the loaf of bread from preferential import tariff treatment into the EU single market.

We need to take concerns like this into account, avoiding any unnecessary barriers to trade, including from ‘Rules of Origin’.

Conclusion

Ladies and gentlemen, I truly believe that – together – we can do more.

And our Industrial Strategy offers so many opportunities to do just that.

From the Sector Council bringing together the whole ‘farm to fork’ industry like never before…

To agreeing an ambitious Sector Deal…

And listening to you as we negotiate a new relationship with the European Union.

This is a sector which has lived through change before and – indeed – has driven change before, and I believe that – together – we can do that again.

Thank you for inviting me here today.

#BEIS

0 notes

realselfblog · 7 years

Text

Smarter, Streamlined, Connected Consumers – The Promise of CES 2018

Journalists and industry analysts from around the globe have come to Las Vegas which, this week, is the mecca for new-new electronic things that companies think consumers will be keen to buy. On media day 1, I spoke with a colleague from the Netherlands who covers audio, a sector that’s certainly in disruption; an automotive analyst from India covering autonomous vehicles; and, a mobile tech guru based in Dubai, to identify just a few of my media friends who have gathered here to research and write on their respective beats.

In these conversations, there are some common buzzwords floating around at CES 2018, crossing all industry sectors including (alphabetically) 3D printing, AI (artificial intelligence), AR (augmented reality), autonomous, blockchain, drones, platforms, and “smart” (used as an adjective), among the most-overheard themes. For health/care, all of these are relevant depending on the consumer, and I expect to hear these concepts peppered throughout conversations I’ve scheduled with various connected health tech developers and service providers this week.

CTA’s Steve Koenig and Lesley Rohrbach presented their annual market research findings in a presentation on CES 2018 Tech Trends, which forecasts trends and sales projections in over 300 tech categories.

“CES has become the showcase for the continuum of consumer technology,” they began, identifying “three parts” of consumer tech: “ingredients,” like 5G, AI, and robotics, which are the base platform enablers of tech development; “in-the-market,” such as native interfaces and realism redefined; and, “emerging tech” innovations like smart cities, sports innovation (think: VR/AR during a World Cup football match), and digital therapeutics.

5G communication infrastructure is very important for healthcare, bringing higher speeds, greater capacity, and lower latency. Consider this during a virtual, robotic surgery conducted between a rural-living patient and physician and an urban surgical specialist-mentor in a city, working collaboratively in real-time. A resilient, consistent, fast network is a must-have for this scenario to be safe and sustainable.

How fast is 5G? Consider how long it would take to download the two-hour long movie, Guardians of the Galaxy: in 3G, 26 hours; in 4G, 6 minutes; and in 5G, 3.6 seconds.

That’s a key base enabling technology for connected health. An important streamlining innovation is voice-enablement, with the market poster child being Amazon Echo and Alexa. Personal voice-enabled assistants are growing at hockey-stick pace, Koenig observed, at 270% growth in 2017, and an expected 60% increase in 2018. Many CES exhibitors this season will feature smart homes fitted with voice-enabled smart products and applications. Alexa will be joined by Microsoft Cortana, Google Assistant, Samsung Bixby, and other new digital assistant personae.

The health/care applications for smart home IoT are many, on the continuum from healthy living to safe aging. Interestingly for Health Populi’s health care industry readers, “tablestakes” for smart home developments will be interoperability — a long-term challenge for health IT.

Digital assistants will go beyond the home to occupy more “vessels,” as Koenig explained — especially cars. I’ll be spending time this week assessing the “fourth space” of the auto as a wellness environment.

Robots, too, are proliferating in the consumer market, and have health care relevance, too. Robots like Mayfield Robotics’ Kuri (“a cross between R2D2 and E.T.”) can be a “family friend,” a camera and life-recorder, the “life of the party” as music player, and/or a home video connection — think medication adherence, for example.

Among CES’s 300+ tech forecasts is digital therapeutics, aka “software as medicine.” Digital tx can be standalone treatments, connected solutions, supportive health apps, efficiency tools, safety managers, and compliance enablers. They should be validated by clinical evidence to demonstrate positive impacts on health outcomes.

reSET – Prescription Digital Therapeutic (PRNewsfoto/Pear Therapeutics)

Chronic conditions especially stand to be impacted by digital therapeutics; consider conditions that are highly amenable to lifestyle changes, such as diabetes, heart disease, and sleep disorders. Furthermore, CES this week will feature innovations that address pain management (speaking directly to opioid addiction) and mental/behavioral health. Note that PEAR Therapeutics raised $50 mm last week to further its work in addiction treatment; the graphic illustrates how reSET, Pear Therapeutics’ addiction treatment, fits into the healthcare process.

Health Populi’s Hot Points: CES in health/care is evolving toward more healthcare beyond fitness and wellness, with innovations from Samsung focusing on respiratory health care monitoring, L’Oreal and Neutrogena working on skincare health, and ecosystem partnerships like Philips and American Well working together to expand the virtual health supply side.

To enhance that point, CES added a Disruptive Innovations in Healthcare education track, which will feature hospitals, healthcare providers, life science companies and other stakeholders mature in the legacy healthcare system – names like Mayo Clinic, George Washington University, the FDA, and Walgreens, among others.

I note that this year CES is raising more questions about societal impacts of technology – such as social inclusion for financial services, social impacts of technology on kids, and how to bake empathy into AI and tech development. One example that’s encouraging won the 2018 CES “Tech for a Better World” Award, My Special Aflac Duck. Working with Sproutel, Aflac created this smart robotic companion was built to be a caring companion for children with cancer. For many years, Aflac as as corporation has been active in funding cancer research and support. Here’s a video to delight you.

youtube

Long-time Health Populi readers may recall my affection for Sproutel’s Jerry the Bear, who was an early pioneer for play among sick kids.

https

The post Smarter, Streamlined, Connected Consumers – The Promise of CES 2018 appeared first on HealthPopuli.com.

Smarter, Streamlined, Connected Consumers – The Promise of CES 2018 posted first on http://ift.tt/2sNcj5z

0 notes

titheguerrero · 7 years

Text

Smarter, Streamlined, Connected Consumers – The Promise of CES 2018

How fast is 5G? Consider how long it would take to download the two-hour long movie, Guardians of the Galaxy: in 3G, 26 hours; in 4G, 6 minutes; and in 5G, 3.6 seconds.

reSET – Prescription Digital Therapeutic (PRNewsfoto/Pear Therapeutics)

youtube

Long-time Health Populi readers may recall my affection for Sproutel’s Jerry the Bear, who was an early pioneer for play among sick kids.

https

The post Smarter, Streamlined, Connected Consumers – The Promise of CES 2018 appeared first on HealthPopuli.com.

Article source:Health Populi

0 notes