Automated Echocardiographic Detection of Mitral Valve Prolapse and Mitral Regurgitation with Video-based Artificial Intelligence Algorithms.

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Bibliographic Details
Title: Automated Echocardiographic Detection of Mitral Valve Prolapse and Mitral Regurgitation with Video-based Artificial Intelligence Algorithms.
Authors: Ansari MU; Department of Medicine, Division of Cardiology, University of California, San Francisco, San Francisco, CA., Barrios JP; Department of Medicine, Division of Cardiology, University of California, San Francisco, San Francisco, CA.; Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA., Tastet L; Department of Medicine, Division of Cardiology, University of California, San Francisco, San Francisco, CA., Jhawar R; Department of Medicine, Division of Cardiology, University of California, San Francisco, San Francisco, CA., Cristin L; Department of Medicine, Division of Cardiology, University of California, San Francisco, San Francisco, CA., Rich A; Department of Medicine, Division of Cardiology, University of California, San Francisco, San Francisco, CA., Bibby D; Department of Medicine, Division of Cardiology, University of California, San Francisco, San Francisco, CA., Fang Q; Department of Medicine, Division of Cardiology, University of California, San Francisco, San Francisco, CA., Arya F; Department of Medicine, Division of Cardiology, University of California, San Francisco, San Francisco, CA., Crudo V; Houston Methodist DeBakey Heart & Vascular Center,© Houston, TX., Nguyen T; Houston Methodist DeBakey Heart & Vascular Center,© Houston, TX., Shah DJ; Houston Methodist DeBakey Heart & Vascular Center,© Houston, TX., Delling FN; Department of Medicine, Division of Cardiology, University of California, San Francisco, San Francisco, CA., Tison GH; Department of Medicine, Division of Cardiology, University of California, San Francisco, San Francisco, CA.; Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA.; Co-Director, Center for Biosignal Research, University of California, San Francisco, San Francisco, CA.
Source: MedRxiv : the preprint server for health sciences [medRxiv] 2026 Mar 02. Date of Electronic Publication: 2026 Mar 02.
Publication Type: Journal Article; Preprint
Journal Info: Country of Publication: United States NLM ID: 101767986 Publication Model: Electronic Cited Medium: Internet NLM ISO Abbreviation: medRxiv Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
DOI:10.64898/2026.02.26.26347229