Integrating Echocardiography Parameters With Explainable Artificial Intelligence for Data-Driven Clustering of Primary Mitral Regurgitation Phenotypes.

doi:10.1016/j.jcmg.2023.02.016

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Integrating Echocardiography Parameters With Explainable Artificial Intelligence for Data-Driven Clustering of Primary Mitral Regurgitation Phenotypes.

JACC. Cardiovascular imaging - 1 Oct 2023

Bernard Jérémy, Yanamala Naveena, Shah Rohan, Seetharam Karthik, Altes Alexandre, Dupuis Marlène, Toubal Oumhani, Mahjoub Haïfa, Dumortier Hélène, Tartar Jean, Salaun Erwan, O'Connor Kim, Bernier Mathieu, Beaudoin Jonathan, Côté Nancy, Vincentelli André, LeVen Florent, Maréchaux Sylvestre, Pibarot Philippe, Sengupta Partho P

Abstract excerpt

BACKGROUND: Primary mitral regurgitation (MR) is a heterogeneous clinical disease requiring integration of echocardiographic parameters using guideline-driven recommendations to identify severe disease. OBJECTIVES: The purpose of this preliminary study was to explore novel data-driven approaches to delineate phenotypes of MR severity that benefit from surgery. METHODS: The authors used unsupervised and supervised...

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PMID: 37178071
DOI: 10.1016/j.jcmg.2023.02.016

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