New research demonstrates artificial intelligence can identify heart disease using Apple Watch data with 88% accuracy. Yale researchers trained AI on over 266,000 twelve-lead ECG recordings from more than 110,000 adults, then tested it on 600 participants using thirty-second Apple Watch readings. The AI achieved 86% accuracy identifying heart disease patients and 99% accuracy ruling out healthy individuals. “On its own, a single-lead ECG is limited,” said senior researcher Dr. Rohan Khera, director of the Cardiovascular Data Science Lab at Yale School of Medicine. “However, with AI, it becomes powerful enough to screen for important heart conditions.” The technology detects structural heart problems like weakened pumping, damaged valves, or thickened muscle using just one ECG lead versus hospital twelve-lead tests. (Story URL)
