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 machine-learning model trained on thousands of electrocardiogram recordings identifies a previously unrecognized group of at-risk people.

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…

A new study published in Nature uses artificial intelligence to identify people at high risk for sudden cardiac death, and pinpoints a possible reason.