Real-World Performance of AI in Screening for Diabetic Retinopathy
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Real-World Performance of AI in Screening for Diabetic Retinopathy
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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
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