New AI technology speeds eye disease diagnosis and predicts heart attack, stroke risks from retinal scans
Researchers at Washington University School of Medicine developed OCTCube-M, an AI system that analyzes 3D eye scans to detect retinal diseases more accurately than older models. The technology identified 43 to 60 additional cases per 1,000 individuals and can predict broader health risks including heart attack, stroke, and kidney failure based solely on retinal imaging.