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.

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