Artificial intelligence-electrocardiography to detect atrial fibrillation: trend of probability before and after the first episode.

Several important observations have significant clinical impact and are worthy of discussion: (i) the study clearly demonstrates a positive rate of increase in AI-ECG probability (and positive ECG screens) prior to AF which solidifies the predictive accuracy of AI-ECG for AF; (ii) although a single suprathreshold ECG can be treated with criticism in clinical decision-making, future ECG demonstrating higher AI-ECG probabilities with a positive trend are a concerning finding and merit clinical attention, particularly in older patients with increased risk factors for AF; and (iii) prediction of time to future AF can be made to some degrees based on sequential ECGs.

also in 11,005 other papers