Automated Deep Learning Phenotyping of Tricuspid Regurgitation in Echocardiography

This study describes the development and testing of a deep learning computer vision workflow for identifying color Doppler echocardiogram videos and characterizing tricuspid regurgitation presence and severity using cohorts from 2 sites.