A UC Berkeley-led project trained an AI system on hundreds of thousands of EKGs. The resulting risk predictions are much better than existing methods, paving the way to save lives at scale.
A UC Berkeley-led project trained an AI system on hundreds of thousands of EKGs. The resulting risk predictions are much better than existing methods, paving the way to save lives at scale.
By Jason Pohl
Using a custom AI tool, UC Berkeley researchers discovered a previously unrecognized signal in electrocardiograms that can better detect high-risk patients before their heart stops.
Joshua Chehov via Unsplash
June 24, 2026
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