Researchers at Penn State are using machine learning and existing electrocardiogram (ECG) data to help doctors make more accurate predictions. A team of artificial intelligence engineers, in ...

A new artificial intelligence approach developed by investigators in Cedars-Sinai's Los Angeles-based Smidt Heart Institute has been shown to detect abnormal heart rhythms associated with atrial ...

The FDA has granted a de novo clearance to a wearable device—with a form factor you’re familiar with—that can check patients for atrial fibrillation without relying on the electrical signals of the ...

Atrial fibrillation, or AFib, is a fast and irregular heart rhythm that, left untreated, can lead to blood clots, stroke and heart failure. It's the most common type of arrhythmia, a potentially ...