D-39 | Using Artificial Intelligence-enabled ECG to Predict Atrial Fibrillation Following Patent Foramen Ovale Closure

Atrial fibrillation (AF) is a possible complication following patent foramen ovale (PFO) closure. AI-enabled ECG (AI-ECG) acquired during normal sinus rhythm has been shown to identify individuals with AF by noting high-risk ECG features invisible to the human eye. We sought to characterize the value of AI-ECG to predict AF development following PFO closure.