Identification of hypertrophic cardiomyopathy on electrocardiographic images with deep learning.
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| Title: | Identification of hypertrophic cardiomyopathy on electrocardiographic images with deep learning. |
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| Authors: | Sangha V; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.; Department of Engineering Science, Oxford University, Oxford, UK., Dhingra LS; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA., Aminorroaya A; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA., Croon PM; Department of Cardiology, Amsterdam Cardiovascular Sciences, Amsterdam University Medical Centre, University of Amsterdam, Amsterdam, The Netherlands., Sikand NV; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA., Sen S; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA., Martinez MW; Department of Cardiovascular Medicine, Atlantic Health, Morristown Medical Center, Morristown, NJ, USA.; Sports Cardiology and Hypertrophic Cardiomyopathy, Morristown Medical Center, Morristown, NJ, USA., Maron MS; HCM Institute, Tufts Medical Center, Boston, MA, USA., Krumholz HM; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.; Center for Outcomes Research and Evaluation (CORE), Yale New Haven Hospital, New Haven, CT, USA., Asselbergs FW; Department of Cardiology, Amsterdam Cardiovascular Sciences, Amsterdam University Medical Centre, University of Amsterdam, Amsterdam, The Netherlands.; Institute of Health Informatics, University College London, London, UK.; National Institute for Health Research, University College London Hospitals, Biomedical Research Centre, University College London, London, UK., Oikonomou EK; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA., Khera R; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA. rohan.khera@yale.edu.; Center for Outcomes Research and Evaluation (CORE), Yale New Haven Hospital, New Haven, CT, USA. rohan.khera@yale.edu.; Section of Health Informatics, Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA. rohan.khera@yale.edu. |
| Source: | Nature cardiovascular research [Nat Cardiovasc Res] 2025 Aug; Vol. 4 (8), pp. 991-1000. Date of Electronic Publication: 2025 Jul 22. |
| Publication Type: | Journal Article; Validation Study |
| 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: 40696040 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Identification of hypertrophic cardiomyopathy on electrocardiographic images with deep learning. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Sangha+V%22">Sangha V</searchLink>; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.; Department of Engineering Science, Oxford University, Oxford, UK.<br /><searchLink fieldCode="AU" term="%22Dhingra+LS%22">Dhingra LS</searchLink>; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.<br /><searchLink fieldCode="AU" term="%22Aminorroaya+A%22">Aminorroaya A</searchLink>; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.<br /><searchLink fieldCode="AU" term="%22Croon+PM%22">Croon PM</searchLink>; Department of Cardiology, Amsterdam Cardiovascular Sciences, Amsterdam University Medical Centre, University of Amsterdam, Amsterdam, The Netherlands.<br /><searchLink fieldCode="AU" term="%22Sikand+NV%22">Sikand NV</searchLink>; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.<br /><searchLink fieldCode="AU" term="%22Sen+S%22">Sen S</searchLink>; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.<br /><searchLink fieldCode="AU" term="%22Martinez+MW%22">Martinez MW</searchLink>; Department of Cardiovascular Medicine, Atlantic Health, Morristown Medical Center, Morristown, NJ, USA.; Sports Cardiology and Hypertrophic Cardiomyopathy, Morristown Medical Center, Morristown, NJ, USA.<br /><searchLink fieldCode="AU" term="%22Maron+MS%22">Maron MS</searchLink>; HCM Institute, Tufts Medical Center, Boston, MA, USA.<br /><searchLink fieldCode="AU" term="%22Krumholz+HM%22">Krumholz HM</searchLink>; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.; Center for Outcomes Research and Evaluation (CORE), Yale New Haven Hospital, New Haven, CT, USA.<br /><searchLink fieldCode="AU" term="%22Asselbergs+FW%22">Asselbergs FW</searchLink>; Department of Cardiology, Amsterdam Cardiovascular Sciences, Amsterdam University Medical Centre, University of Amsterdam, Amsterdam, The Netherlands.; Institute of Health Informatics, University College London, London, UK.; National Institute for Health Research, University College London Hospitals, Biomedical Research Centre, University College London, London, UK.<br /><searchLink fieldCode="AU" term="%22Oikonomou+EK%22">Oikonomou EK</searchLink>; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA.<br /><searchLink fieldCode="AU" term="%22Khera+R%22">Khera R</searchLink>; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA. rohan.khera@yale.edu.; Center for Outcomes Research and Evaluation (CORE), Yale New Haven Hospital, New Haven, CT, USA. rohan.khera@yale.edu.; Section of Health Informatics, Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA. rohan.khera@yale.edu. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229918284280206676%22">Nature cardiovascular research</searchLink> [Nat Cardiovasc Res] 2025 Aug; Vol. 4 (8), pp. 991-1000. <i>Date of Electronic Publication: </i>2025 Jul 22. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Validation Study – 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=40696040 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s44161-025-00685-3 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 991 Titles: – TitleFull: Identification of hypertrophic cardiomyopathy on electrocardiographic images with deep learning. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Sangha V – PersonEntity: Name: NameFull: Dhingra LS – PersonEntity: Name: NameFull: Aminorroaya A – PersonEntity: Name: NameFull: Croon PM – PersonEntity: Name: NameFull: Sikand NV – PersonEntity: Name: NameFull: Sen S – PersonEntity: Name: NameFull: Martinez MW – PersonEntity: Name: NameFull: Maron MS – PersonEntity: Name: NameFull: Krumholz HM – PersonEntity: Name: NameFull: Asselbergs FW – PersonEntity: Name: NameFull: Oikonomou EK – PersonEntity: Name: NameFull: Khera R IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 08 Text: 2025 Aug Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 2731-0590 Numbering: – Type: volume Value: 4 – Type: issue Value: 8 Titles: – TitleFull: Nature cardiovascular research Type: main |
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