An artificial intelligence‐enabled electrocardiogram algorithm for the prediction of left atrial low‐voltage areas in persistent atrial fibrillation

The deep learning model based exclusively on ECG data and the machine learning model that combined a probabilistic deep learning model and clinical features both predicted the presence of LVAs with a higher degree of accuracy than the DR-FLASH and the APPLE risk scores.