Multimodal AI to forecast arrhythmic death in hypertrophic cardiomyopathy.

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Title: Multimodal AI to forecast arrhythmic death in hypertrophic cardiomyopathy.
Authors: Lai C; Alliance for Cardiovascular Diagnostic and Treatment Innovation, Johns Hopkins University, Baltimore, MD, USA.; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA., Yin M; Alliance for Cardiovascular Diagnostic and Treatment Innovation, Johns Hopkins University, Baltimore, MD, USA.; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA., Kholmovski EG; Alliance for Cardiovascular Diagnostic and Treatment Innovation, Johns Hopkins University, Baltimore, MD, USA.; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA., Popescu DM; Alliance for Cardiovascular Diagnostic and Treatment Innovation, Johns Hopkins University, Baltimore, MD, USA., Lu DY; Hypertrophic Cardiomyopathy Center of Excellence, Division of Cardiology, University of California, San Francisco, San Francisco, CA, USA., Scherer E; Sanger Heart & Vascular Institute, Atrium Health, Charlotte, NC, USA., Binka E; Division of Pediatric Cardiology, Department of Pediatrics, University of Utah, Salt Lake City, UT, USA., Zimmerman SL; School of Medicine, Johns Hopkins University, Baltimore, MD, USA., Chrispin J; School of Medicine, Johns Hopkins University, Baltimore, MD, USA., Hays AG; School of Medicine, Johns Hopkins University, Baltimore, MD, USA., Phelan DM; Sanger Heart & Vascular Institute, Atrium Health, Charlotte, NC, USA., Abraham MR; Hypertrophic Cardiomyopathy Center of Excellence, Division of Cardiology, University of California, San Francisco, San Francisco, CA, USA., Trayanova NA; Alliance for Cardiovascular Diagnostic and Treatment Innovation, Johns Hopkins University, Baltimore, MD, USA. ntrayanova@jhu.edu.; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA. ntrayanova@jhu.edu.
Source: Nature cardiovascular research [Nat Cardiovasc Res] 2025 Jul; Vol. 4 (7), pp. 891-903. Date of Electronic Publication: 2025 Jul 02.
Publication Type: Journal Article
Journal Info: Publisher: Springer Nature Country of Publication: England NLM ID: 9918284280206676 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2731-0590 (Electronic) Linking ISSN: 27310590 NLM ISO Abbreviation: Nat Cardiovasc Res Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2731-0590
DOI:10.1038/s44161-025-00679-1