Deep Learning and Diabetic Retinopathy by Rajiv Raman

Explore the intersection of deep learning and diabetic retinopathy in this informative lecture. Gain insights into how advanced machine learning techniques are being applied to detect and analyze retinal abnormalities associated with diabetes. Learn about the potential of deep learning algorithms to improve early diagnosis and management of diabetic retinopathy, a leading cause of vision loss. Discover the challenges and opportunities in developing accurate and efficient AI-powered screening tools for this condition. Understand the impact of these technological advancements on ophthalmology and patient care in the context of the broader "Machine Learning for Health and Disease" program.