AI Eye Scans Predict Heart Disease Risk with 91% Accuracy

Researchers presented a breakthrough AI system called CLAiR at the American College of Cardiology's Annual Scientific Session (ACC.26) ^[1]. This technology analyzes retinal images during routine eye exams to assess a patient's heart disease risk ^[2]. The system achieved 91.1% sensitivity in identifying individuals at risk for cardiovascular events ^[3]. The eye's retina offers a unique "window" into a person's vascular health without invasive procedures ^[1]. By scanning the blood vessels in the back of the eye, CLAiR can detect early markers of heart issues ^[2]. This method provides a fast, accessible way to screen patients who may not realize they have cardiac vulnerabilities ^[3].