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

A deep-learning model trained on electrocardiogram (ECG) waveforms identifies an easily visible biomarker that predicts sudden cardiac death more accurately than the current…

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