
Real-World Performance of AI in Screening for Diabetic Retinopathy
JAMA+ AI Conversations
Evaluating AI's Impact on Diabetic Retinopathy Screening
This chapter examines an AI model's effectiveness in identifying severe cases of diabetic retinopathy and discusses key performance metrics like referral rates. It also highlights the practical challenges of implementing retinal screening in rural settings, emphasizing the need for a comprehensive approach beyond just the technology.
00:00
Transcript
Play full episode
Remember Everything You Learn from Podcasts
Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.