Predicting incident atrial fibrillation from sinus rhythm electrocardiograms using deep learning: a meta-analysis with horizon stratification
Atrial fibrillation (AF) frequently remains clinically silent until complications occur, limiting opportunities for early prevention. Deep learning (DL) analysis of sinus rhythm (SR) electrocardiograms has emerged as a novel approach for identifying individuals at risk of developing AF, but reported performance v...