Cedars-sinai Research Shows Deep Learning Model Could Improve Afib

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. The algorithm was trained using more than 100,000 echocardiograms and has shown its ability to predict which patients could develop irregular heart rhythms within 90 days. This has the potential to improve cardiac care and identify patients with hidden heart rhythm disorders.