Cedars-Sinai Deep Learning Tool Accurately Predicts Atrial Fibrillation
- Researchers from the Smidt Heart Institute at Cedars-Sinai demonstrated that a deep learning (DL) algorithm can accurately detect signs of atrial fibrillation in patients without symptoms, according to a study published recently in JAMA Cardiology. Early detection of atrial fibrillation is critical to prevent adverse outcomes like stroke and other...