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A comparison of artificial intelligence-enhanced electrocardiography approaches for the prediction of time to mortality using electrocardiogram images.

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Title: A comparison of artificial intelligence-enhanced electrocardiography approaches for the prediction of time to mortality using electrocardiogram images.
Authors: Sau A; National Heart and Lung Institute, Imperial College London, London, UK.; Department of Cardiology, Imperial College Healthcare NHS Trust, London, UK., Zeidaabadi B; National Heart and Lung Institute, Imperial College London, London, UK., Patlatzoglou K; National Heart and Lung Institute, Imperial College London, London, UK., Pastika L; National Heart and Lung Institute, Imperial College London, London, UK., Ribeiro AH; Department of Information Technology, Uppsala University, Uppsala, Sweden., Sabino E; Department of Infectious Diseases, School of Medicine and Institute of Tropical Medicine, University of São Paulo, São Paulo, Brazil., Peters NS; National Heart and Lung Institute, Imperial College London, London, UK.; Department of Cardiology, Imperial College Healthcare NHS Trust, London, UK., Ribeiro ALP; Department of Internal Medicine, Faculdade de Medicina, and Telehealth Centre and Cardiology Service, Hospital das Clínicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil., Kramer DB; National Heart and Lung Institute, Imperial College London, London, UK.; Richard A. and Susan F. Smith Centre for Outcomes Research in Cardiology, Beth Israel Deaconess Medical Centre, Harvard Medical School, Boston, MA, USA., Waks JW; Harvard-Thorndike Electrophysiology Institute, Beth Israel Deaconess Medical Centre, Harvard Medical School, Boston, MA, USA., Ng FS; National Heart and Lung Institute, Imperial College London, London, UK.; Department of Cardiology, Imperial College Healthcare NHS Trust, London, UK.; Department of Cardiology, Chelsea and Westminster Hospital NHS Foundation Trust, London, UK.
Source: European heart journal. Digital health [Eur Heart J Digit Health] 2024 Nov 18; Vol. 6 (2), pp. 180-189. Date of Electronic Publication: 2024 Nov 18 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 101778323 Publication Model: eCollection Cited Medium: Internet ISSN: 2634-3916 (Electronic) Linking ISSN: 26343916 NLM ISO Abbreviation: Eur Heart J Digit Health Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: A comparison of artificial intelligence-enhanced electrocardiography approaches for the prediction of time to mortality using electrocardiogram images.
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  Data: <searchLink fieldCode="AU" term="%22Sau+A%22">Sau A</searchLink>; National Heart and Lung Institute, Imperial College London, London, UK.; Department of Cardiology, Imperial College Healthcare NHS Trust, London, UK.<br /><searchLink fieldCode="AU" term="%22Zeidaabadi+B%22">Zeidaabadi B</searchLink>; National Heart and Lung Institute, Imperial College London, London, UK.<br /><searchLink fieldCode="AU" term="%22Patlatzoglou+K%22">Patlatzoglou K</searchLink>; National Heart and Lung Institute, Imperial College London, London, UK.<br /><searchLink fieldCode="AU" term="%22Pastika+L%22">Pastika L</searchLink>; National Heart and Lung Institute, Imperial College London, London, UK.<br /><searchLink fieldCode="AU" term="%22Ribeiro+AH%22">Ribeiro AH</searchLink>; Department of Information Technology, Uppsala University, Uppsala, Sweden.<br /><searchLink fieldCode="AU" term="%22Sabino+E%22">Sabino E</searchLink>; Department of Infectious Diseases, School of Medicine and Institute of Tropical Medicine, University of São Paulo, São Paulo, Brazil.<br /><searchLink fieldCode="AU" term="%22Peters+NS%22">Peters NS</searchLink>; National Heart and Lung Institute, Imperial College London, London, UK.; Department of Cardiology, Imperial College Healthcare NHS Trust, London, UK.<br /><searchLink fieldCode="AU" term="%22Ribeiro+ALP%22">Ribeiro ALP</searchLink>; Department of Internal Medicine, Faculdade de Medicina, and Telehealth Centre and Cardiology Service, Hospital das Clínicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.<br /><searchLink fieldCode="AU" term="%22Kramer+DB%22">Kramer DB</searchLink>; National Heart and Lung Institute, Imperial College London, London, UK.; Richard A. and Susan F. Smith Centre for Outcomes Research in Cardiology, Beth Israel Deaconess Medical Centre, Harvard Medical School, Boston, MA, USA.<br /><searchLink fieldCode="AU" term="%22Waks+JW%22">Waks JW</searchLink>; Harvard-Thorndike Electrophysiology Institute, Beth Israel Deaconess Medical Centre, Harvard Medical School, Boston, MA, USA.<br /><searchLink fieldCode="AU" term="%22Ng+FS%22">Ng FS</searchLink>; National Heart and Lung Institute, Imperial College London, London, UK.; Department of Cardiology, Imperial College Healthcare NHS Trust, London, UK.; Department of Cardiology, Chelsea and Westminster Hospital NHS Foundation Trust, London, UK.
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  Data: <searchLink fieldCode="JN" term="%22101778323%22">European heart journal. Digital health</searchLink> [Eur Heart J Digit Health] 2024 Nov 18; Vol. 6 (2), pp. 180-189. <i>Date of Electronic Publication: </i>2024 Nov 18 (<i>Print Publication: </i>2025).
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              Text: 2024 Nov 18
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