Artificial intelligence for advancing eye care in resource-poor settings: Assessing the predictive accuracy of an AI-model for diabetic retinopathy screening in India

Artificial intelligence for advancing eye care in resource-poor settings: Assessing the predictive accuracy of an AI-model for diabetic retinopathy screening in India

Background: Timely identification and treatment of Diabetic Retinopathy (DR) is critical in avoiding vision loss. DR screening is challenging, especially in resource-limited areas where trained ophthalmologists are scarce. AI solutions show promise in addressing this challenge. In this study, the pe...

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Main Authors: Rohan Chawla, Prachi Karkhanis, Malay Shah, Aritra Das, Rishabh Sharma, Dhwani Almaula, Pradeep Venkatesh, Harsh Vardhan Singh, Mukul Kumar, Ramanuj Samanta, Vinod Kumarl, Amar Shah, Bhavin Vadera, Nakul Jain, Akanksha Sen, Shyamsundar Shreedhar, Vipin Garg, Soma Dhaval, Kowshik Ganesh, Srinivas Rana, Radhika Tandon
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Global Epidemiology
Online Access:http://www.sciencedirect.com/science/article/pii/S2590113325000276
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