How AI can diagnose a leading cause of blindness

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The study that led the FDA to approve an AI system for diagnosing diabetic retinopathy came out today, revealing how one of the leading causes of blindness can be detected in a primary care physician’s office.

Published in the journal Nature Digital Medicine, the pivotal study of IDx-DR on 900 adults with diabetes showed 87% sensitivity, 90% specificity, and a 96% imageability rate, demonstrating the AI system’s ability to bring specialty-level diagnostics to primary care settings. Primary care staff at the 10 study sites received four hours of training on IDx-DR.

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