ECG-Based Deep Learning and Clinical Risk Factors to Predict Atrial Fibrillation

Abstract

AI-based analysis of 12-lead ECGs has similar predictive usefulness to a clinical risk factor model for incident AF and the approaches are complementary. ECG-AI may enable efficient quantification of future AF risk.