Multimodal AI to forecast arrhythmic death in hypertrophic cardiomyopathy.
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| Title: | Multimodal AI to forecast arrhythmic death in hypertrophic cardiomyopathy. |
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| 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 |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 40603582 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Multimodal AI to forecast arrhythmic death in hypertrophic cardiomyopathy. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Lai+C%22">Lai C</searchLink>; Alliance for Cardiovascular Diagnostic and Treatment Innovation, Johns Hopkins University, Baltimore, MD, USA.; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.<br /><searchLink fieldCode="AU" term="%22Yin+M%22">Yin M</searchLink>; Alliance for Cardiovascular Diagnostic and Treatment Innovation, Johns Hopkins University, Baltimore, MD, USA.; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.<br /><searchLink fieldCode="AU" term="%22Kholmovski+EG%22">Kholmovski EG</searchLink>; Alliance for Cardiovascular Diagnostic and Treatment Innovation, Johns Hopkins University, Baltimore, MD, USA.; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.<br /><searchLink fieldCode="AU" term="%22Popescu+DM%22">Popescu DM</searchLink>; Alliance for Cardiovascular Diagnostic and Treatment Innovation, Johns Hopkins University, Baltimore, MD, USA.<br /><searchLink fieldCode="AU" term="%22Lu+DY%22">Lu DY</searchLink>; Hypertrophic Cardiomyopathy Center of Excellence, Division of Cardiology, University of California, San Francisco, San Francisco, CA, USA.<br /><searchLink fieldCode="AU" term="%22Scherer+E%22">Scherer E</searchLink>; Sanger Heart & Vascular Institute, Atrium Health, Charlotte, NC, USA.<br /><searchLink fieldCode="AU" term="%22Binka+E%22">Binka E</searchLink>; Division of Pediatric Cardiology, Department of Pediatrics, University of Utah, Salt Lake City, UT, USA.<br /><searchLink fieldCode="AU" term="%22Zimmerman+SL%22">Zimmerman SL</searchLink>; School of Medicine, Johns Hopkins University, Baltimore, MD, USA.<br /><searchLink fieldCode="AU" term="%22Chrispin+J%22">Chrispin J</searchLink>; School of Medicine, Johns Hopkins University, Baltimore, MD, USA.<br /><searchLink fieldCode="AU" term="%22Hays+AG%22">Hays AG</searchLink>; School of Medicine, Johns Hopkins University, Baltimore, MD, USA.<br /><searchLink fieldCode="AU" term="%22Phelan+DM%22">Phelan DM</searchLink>; Sanger Heart & Vascular Institute, Atrium Health, Charlotte, NC, USA.<br /><searchLink fieldCode="AU" term="%22Abraham+MR%22">Abraham MR</searchLink>; Hypertrophic Cardiomyopathy Center of Excellence, Division of Cardiology, University of California, San Francisco, San Francisco, CA, USA.<br /><searchLink fieldCode="AU" term="%22Trayanova+NA%22">Trayanova NA</searchLink>; 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. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229918284280206676%22">Nature cardiovascular research</searchLink> [Nat Cardiovasc Res] 2025 Jul; Vol. 4 (7), pp. 891-903. <i>Date of Electronic Publication: </i>2025 Jul 02. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer+Nature%22">Springer Nature </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>9918284280206676 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2731-0590 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2227310590%22">27310590 </searchLink><i>NLM ISO Abbreviation: </i>Nat Cardiovasc Res <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40603582 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s44161-025-00679-1 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 891 Titles: – TitleFull: Multimodal AI to forecast arrhythmic death in hypertrophic cardiomyopathy. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Lai C – PersonEntity: Name: NameFull: Yin M – PersonEntity: Name: NameFull: Kholmovski EG – PersonEntity: Name: NameFull: Popescu DM – PersonEntity: Name: NameFull: Lu DY – PersonEntity: Name: NameFull: Scherer E – PersonEntity: Name: NameFull: Binka E – PersonEntity: Name: NameFull: Zimmerman SL – PersonEntity: Name: NameFull: Chrispin J – PersonEntity: Name: NameFull: Hays AG – PersonEntity: Name: NameFull: Phelan DM – PersonEntity: Name: NameFull: Abraham MR – PersonEntity: Name: NameFull: Trayanova NA IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: 2025 Jul Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 2731-0590 Numbering: – Type: volume Value: 4 – Type: issue Value: 7 Titles: – TitleFull: Nature cardiovascular research Type: main |
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