Deep learning analysis of single-lead electrocardiograms enables pragmatic heart failure risk assessment in the general population.

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Title: Deep learning analysis of single-lead electrocardiograms enables pragmatic heart failure risk assessment in the general population.
Authors: Neyazi M; Department of Cardiology, University Heart & Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Martini Str 52, 20246 Hamburg, Germany.; DZHK (German Centre for Cardiovascular Research), Partner Site North, Potsdamer Str 58, 10785 Berlin, Germany.; Department of Genetics, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, MA 02115, USA., Bremer JP; Department of Cardiology, University Heart & Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Martini Str 52, 20246 Hamburg, Germany.; DZHK (German Centre for Cardiovascular Research), Partner Site North, Potsdamer Str 58, 10785 Berlin, Germany., Brederecke J; Department of Cardiology, University Heart & Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Martini Str 52, 20246 Hamburg, Germany.; DZHK (German Centre for Cardiovascular Research), Partner Site North, Potsdamer Str 58, 10785 Berlin, Germany., Knorr MS; Department of Cardiology, University Heart & Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Martini Str 52, 20246 Hamburg, Germany.; DZHK (German Centre for Cardiovascular Research), Partner Site North, Potsdamer Str 58, 10785 Berlin, Germany., Seum F; Department of Cardiology, University Heart & Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Martini Str 52, 20246 Hamburg, Germany.; DZHK (German Centre for Cardiovascular Research), Partner Site North, Potsdamer Str 58, 10785 Berlin, Germany., Reinbold C; Department of Cardiology, University Heart & Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Martini Str 52, 20246 Hamburg, Germany.; DZHK (German Centre for Cardiovascular Research), Partner Site North, Potsdamer Str 58, 10785 Berlin, Germany., Gross S; DZHK (German Centre for Cardiovascular Research), Partner Site North, Potsdamer Str 58, 10785 Berlin, Germany.; Department of Internal Medicine B, University Medicine Greifswald, Fleischmann Str 10, 17489 Greifswald, Germany., Csengeri D; Department of Cardiology, University Heart & Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Martini Str 52, 20246 Hamburg, Germany.; DZHK (German Centre for Cardiovascular Research), Partner Site North, Potsdamer Str 58, 10785 Berlin, Germany., Blankenberg S; Department of Cardiology, University Heart & Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Martini Str 52, 20246 Hamburg, Germany.; DZHK (German Centre for Cardiovascular Research), Partner Site North, Potsdamer Str 58, 10785 Berlin, Germany., Dörr M; DZHK (German Centre for Cardiovascular Research), Partner Site North, Potsdamer Str 58, 10785 Berlin, Germany.; Institute for Community Medicine - SHIP-KEF, University Medicine Greifswald, Ellernholz Str 1-2, 17475 Greifswald, Germany., Vollmer M; DZHK (German Centre for Cardiovascular Research), Partner Site North, Potsdamer Str 58, 10785 Berlin, Germany.; Institute of Bioinformatics, University Medicine Greifswald, Walther-Rathenau-Str 47, 17489 Greifswald, Germany., Bonin-Schnabel R; Department of Cardiology, University Heart & Vascular Center Hamburg, University Medical Center Hamburg-Eppendorf, Martini Str 52, 20246 Hamburg, Germany.; DZHK (German Centre for Cardiovascular Research), Partner Site North, Potsdamer Str 58, 10785 Berlin, Germany.
Source: European heart journal. Digital health [Eur Heart J Digit Health] 2026 Jun 23; Vol. 7 (6), pp. ztag099. Date of Electronic Publication: 2026 Jun 23 (Print Publication: 2026).
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
Description
ISSN:2634-3916
DOI:10.1093/ehjdh/ztag099