Performance of a deep-learning algorithm vs manual grading for detecting diabetic retinopathy in India
Importance More than 60 million people in India have diabetes and are at risk for diabetic
retinopathy (DR), a vision-threatening disease. Automated interpretation of retinal fundus
photographs can help support and scale a robust screening program to detect DR. Objective
To prospectively validate the performance of an automated DR system across 2 sites in
India. Design, Setting, and Participants This prospective observational study was conducted
at 2 eye care centers in India (Aravind Eye Hospital and Sankara Nethralaya) and included …
retinopathy (DR), a vision-threatening disease. Automated interpretation of retinal fundus
photographs can help support and scale a robust screening program to detect DR. Objective
To prospectively validate the performance of an automated DR system across 2 sites in
India. Design, Setting, and Participants This prospective observational study was conducted
at 2 eye care centers in India (Aravind Eye Hospital and Sankara Nethralaya) and included …
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