Listen "Real-World Performance of AI in Screening for Diabetic Retinopathy"
Episode Synopsis
Diabetic retinopathy remains a leading cause of preventable blindness worldwide, and AI may facilitate screening, if such models continue to perform well when they are deployed in the real world. Coauthors Arthur Brant, MD, of Stanford University, and Sunny Virmani, MS, of Google join JAMA+ AI Editor in Chief Roy H. Perlis, MD, MSc, to discuss a new study published in JAMA Network Open. Related Content: Diabetic Retinopathy Is Massively Underscreened—an AI System Could Help Performance of a Deep Learning Diabetic Retinopathy Algorithm in India
More episodes of the podcast JAMA+ AI Conversations
AI, Health, and Healthcare
13/10/2025
AI, Health Care, and What to Expect in 2026
09/10/2025
Maintaining Safety and Trust When Patients Engage Google: A Conversation With Dr Michael Howell
18/09/2025
AI in Women's Health
05/09/2025
Changing Opinions About AI in Health Care
07/08/2025