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. |
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| 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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