Automated Deep Learning Phenotyping of Tricuspid Regurgitation in Echocardiography

Abstract

In this study, an automated pipeline was developed to identify clinically significant TR with excellent performance. With open-source code and weights, this project can serve as the foundation for future prospective evaluation of artificial intelligence-assisted workflows in echocardiography.