AI-based prediction of heart failure progression in persistent atrial fibrillation using wearable electrocardiography: a brief research report

Wearable ECG-based AI modeling is feasible for predicting trends in HF biomarkers in persistent AF. These results provide early evidence that ECG-derived digital biomarkers may offer a scalable, non-invasive approach for longitudinal HF monitoring.