Cedars-Sinai Develops Algorithm to Detect AFib in People Without Symptoms

Cedars-Sinai published research in JAMA Cardiology this week on a algorithm it developed to detect atrial fibrillation in people not yet showing symptoms. The study found that the AI model does a good job of identifying hidden signals in common medical diagnostic testing and could help physicians better prevent strokes and other heart-related complications in people with atrial fibrillation.

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