Diagnostic Performance of a Deep Learning Model Using Phonocardiogram and Single-Lead ECG Signals for Detecting Moderate-or-Greater Aortic Stenosis: Multicenter External Validation

Background

Valvular heart disease, particularly aortic stenosis (AS), often remains asymptomatic until advanced stages, making early detection challenging. Although cardiac auscultation is a traditional screening tool, its diagnostic accuracy is limited. We aimed to externally validate a deep learning-based model (eAS model) using phonocardiogram (PCG) and single-lead electrocardiogram (ECG) signals to detect moderate-or-greater AS.