B-PO05-148 ARTIFICIAL INTELLIGENCE-ENABLED ELECTROCARDIOGRAPHY TO DETECT ATRIAL FIBRILLATION IN SINUS RHYTHM: TREND OF PROBABILITY BEFORE AND AFTER PAROXYSMAL ATRIAL FIBRILLATION

Artificial intelligence (AI) enabled electrocardiography (ECG) can detect latent atrial fibrillation (AF) in patients with sinus rhythm (SR). However, the AI-ECG probability varies with time, particularly before and after AF episodes. We sought to characterize the temporal trend of AI-ECG AF probability around episodes of paroxysmal AF. We retrospectively studied adults who had at least one ECG documenting AF and had not been received...