Prediction of Atrial Fibrillation Occurrence With Handheld Mobile Electrocardiogram: Deep Learning Model Development Using Real-World Data
The findings elucidate the feasibility of deep learning–based AF risk prediction using single-NSR recordings from mobile devices, highlighting the potential for remote AF management in real-world populations.