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Heart failure risk stratification using artificial intelligence applied to electrocardiogram images: a multinational study.

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Title: Heart failure risk stratification using artificial intelligence applied to electrocardiogram images: a multinational study.
Authors: Dhingra LS; Department of Internal Medicine, Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT 06510, USA.; Cardiovascular Data Science (CarDS) Lab, Yale School of Medicine, New Haven, CT 06510, USA., Aminorroaya A; Department of Internal Medicine, Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT 06510, USA.; Cardiovascular Data Science (CarDS) Lab, Yale School of Medicine, New Haven, CT 06510, USA., Sangha V; Department of Internal Medicine, Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT 06510, USA.; Cardiovascular Data Science (CarDS) Lab, Yale School of Medicine, New Haven, CT 06510, USA.; Department of Engineering Science, University of Oxford, Oxford, UK., Pedroso AF; Department of Internal Medicine, Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT 06510, USA.; Cardiovascular Data Science (CarDS) Lab, Yale School of Medicine, New Haven, CT 06510, 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.; The National Institute for Health Research University College London Hospitals Biomedical Research Centre, University College London, London, UK., Brant LCC; Faculdade de Medicina, Department of Internal Medicine, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.; Telehealth Center and Cardiology Service, Hospital das Clínicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil., Barreto SM; Faculdade de Medicina, Department of Preventive Medicine, School of Medicine, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil., Ribeiro ALP; Faculdade de Medicina, Department of Internal Medicine, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.; Telehealth Center and Cardiology Service, Hospital das Clínicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil., Krumholz HM; Department of Internal Medicine, Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT 06510, USA.; Center for Outcomes Research and Evaluation (CORE), Yale New Haven Hospital, New Haven, CT 06510, USA.; Department of Health Policy and Management, Yale School of Public Health, New Haven, CT, USA., Oikonomou EK; Department of Internal Medicine, Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT 06510, USA.; Cardiovascular Data Science (CarDS) Lab, Yale School of Medicine, New Haven, CT 06510, USA., Khera R; Department of Internal Medicine, Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT 06510, USA.; Cardiovascular Data Science (CarDS) Lab, Yale School of Medicine, New Haven, CT 06510, USA.; Center for Outcomes Research and Evaluation (CORE), Yale New Haven Hospital, New Haven, CT 06510, USA.; Section of Biomedical Informatics and Data Science, Yale School of Medicine, New Haven, CT 06510, USA.; Section of Health Informatics, Department of Biostatistics, Yale School of Public Health, New Haven, CT 06510, USA.
Source: European heart journal [Eur Heart J] 2025 Mar 13; Vol. 46 (11), pp. 1044-1053.
Publication Type: Journal Article; Multicenter Study
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 8006263 Publication Model: Print Cited Medium: Internet ISSN: 1522-9645 (Electronic) Linking ISSN: 0195668X NLM ISO Abbreviation: Eur Heart J Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Dhingra+LS%22">Dhingra LS</searchLink>; Department of Internal Medicine, Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT 06510, USA.; Cardiovascular Data Science (CarDS) Lab, Yale School of Medicine, New Haven, CT 06510, USA.<br /><searchLink fieldCode="AU" term="%22Aminorroaya+A%22">Aminorroaya A</searchLink>; Department of Internal Medicine, Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT 06510, USA.; Cardiovascular Data Science (CarDS) Lab, Yale School of Medicine, New Haven, CT 06510, USA.<br /><searchLink fieldCode="AU" term="%22Sangha+V%22">Sangha V</searchLink>; Department of Internal Medicine, Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT 06510, USA.; Cardiovascular Data Science (CarDS) Lab, Yale School of Medicine, New Haven, CT 06510, USA.; Department of Engineering Science, University of Oxford, Oxford, UK.<br /><searchLink fieldCode="AU" term="%22Pedroso+AF%22">Pedroso AF</searchLink>; Department of Internal Medicine, Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT 06510, USA.; Cardiovascular Data Science (CarDS) Lab, Yale School of Medicine, New Haven, CT 06510, 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.; The National Institute for Health Research University College London Hospitals Biomedical Research Centre, University College London, London, UK.<br /><searchLink fieldCode="AU" term="%22Brant+LCC%22">Brant LCC</searchLink>; Faculdade de Medicina, Department of Internal Medicine, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.; Telehealth Center and Cardiology Service, Hospital das Clínicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.<br /><searchLink fieldCode="AU" term="%22Barreto+SM%22">Barreto SM</searchLink>; Faculdade de Medicina, Department of Preventive Medicine, School of Medicine, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.<br /><searchLink fieldCode="AU" term="%22Ribeiro+ALP%22">Ribeiro ALP</searchLink>; Faculdade de Medicina, Department of Internal Medicine, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.; Telehealth Center and Cardiology Service, Hospital das Clínicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.<br /><searchLink fieldCode="AU" term="%22Krumholz+HM%22">Krumholz HM</searchLink>; Department of Internal Medicine, Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT 06510, USA.; Center for Outcomes Research and Evaluation (CORE), Yale New Haven Hospital, New Haven, CT 06510, USA.; Department of Health Policy and Management, Yale School of Public Health, New Haven, CT, USA.<br /><searchLink fieldCode="AU" term="%22Oikonomou+EK%22">Oikonomou EK</searchLink>; Department of Internal Medicine, Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT 06510, USA.; Cardiovascular Data Science (CarDS) Lab, Yale School of Medicine, New Haven, CT 06510, USA.<br /><searchLink fieldCode="AU" term="%22Khera+R%22">Khera R</searchLink>; Department of Internal Medicine, Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT 06510, USA.; Cardiovascular Data Science (CarDS) Lab, Yale School of Medicine, New Haven, CT 06510, USA.; Center for Outcomes Research and Evaluation (CORE), Yale New Haven Hospital, New Haven, CT 06510, USA.; Section of Biomedical Informatics and Data Science, Yale School of Medicine, New Haven, CT 06510, USA.; Section of Health Informatics, Department of Biostatistics, Yale School of Public Health, New Haven, CT 06510, USA.
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              Text: 2025 Mar 13
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