Cedars-Sinai research shows deep learning model could improve AFib detection

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 fibrillation that might otherwise be unnoticed by physicians.

WHY IT MATTERS
Researchers at Smidt Heart Institute say the findings point to the potential for artificial intelligence to be used more widely in cardiac care.

In a recent study, published…