Multi-center retrospective cohort study applying deep learning to electrocardiograms to identify left heart valvular dysfunction

Abstract

Vaid et al performed a multi-center retrospective cohort study using electrocardiograms from patients with mitral regurgitation to train a deep learning model to detect valvular disease and validated it in externally. They demonstrate the model could potentially enable earlier disease detection and improve overall prognosis.