rceenetworks

[rceenetworks]

This technology is showing promises for risk stratification for diseases, diagnostic imaging, patient scheduling, and educational applications. Health care is rapidly evolving due to technological advances and the accessibility of big data. In retina, the growing interest in AI is driven by the field’s reliance on routine imaging data that require daily review and interpretation […]

[rceenetworks]

Image analysis for retinal images has been an active subject of research over the last couple of decades. With the popularity of mydriatic and non-mydriatic digital imaging cameras, color fundus photographs have become essential part of standard retinal exam. Advances in image analysis, pattern recognition, and machine learning have opened up a great opportunity to enhance the clinical care available to patients suffering for retinal diseases such as diabetic retinopathy, age related macular degeneration, hypertensive retinopathy, and glaucoma.

[rceenetworks]

Diagnosis: Cone-Rod Dystrophy (CRD) Observed Features: Macular pigmentary changes (mottling and granularity) in both eyes. Slightly reduced fundus view clarity. Reasoning: Image Quality Assessment: The image quality is slightly...