Article

Deep Learning Phenotyping of Tricuspid Regurgitation for Automated High Throughput Assessment of Transthoracic Echocardiography

2024-06-24

Abstract excerpt

<h4>Background and Aims</h4> Diagnosis of tricuspid regurgitation (TR) requires careful expert evaluation. This study developed an automated deep learning pipeline for assessing TR from transthoracic echocardiography. <h4>Methods</h4> An automated deep learning workflow was developed using 47,312 studies (2,079,898 videos) from Cedars-Sinai Medical Center (CSMC) between 2011 and 2021. The pipeline was tested on a...

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Literature Corpus work: 0c00bd59-08d7-554b-ba9f-69f4b41516d5
DOI: 10.1101/2024.06.22.24309332

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