Image based artificial intelligence-enhanced electrocardiogram prediction of incident atrial fibrillation.

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Bibliographic Details
Title: Image based artificial intelligence-enhanced electrocardiogram prediction of incident atrial fibrillation.
Authors: Zeidaabadi B; National Heart and Lung Institute, Imperial College London, United Kingdom., Patlatzoglou K; National Heart and Lung Institute, Imperial College London, United Kingdom., Barker J; National Heart and Lung Institute, Imperial College London, United Kingdom., Pastika L; National Heart and Lung Institute, Imperial College London, United Kingdom., Khattak GR; National Heart and Lung Institute, Imperial College London, United Kingdom., Gurnani M; National Heart and Lung Institute, Imperial College London, United Kingdom., Da Silva Anjos Machado X; National Heart and Lung Institute, Imperial College London, United Kingdom., Peters NS; National Heart and Lung Institute, Imperial College London, United Kingdom; Department of Cardiology, Imperial College Healthcare NHS Trust, London, United Kingdom., Kramer DB; National Heart and Lung Institute, Imperial College London, United Kingdom; Richard A. and Susan F. Smith Center for Outcomes Research in Cardiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts., Waks JW; Harvard-Thorndike Electrophysiology Institute, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts., Ng FS; National Heart and Lung Institute, Imperial College London, United Kingdom; Department of Cardiology, Imperial College Healthcare NHS Trust, London, United Kingdom; Department of Cardiology, Chelsea and Westminster Hospital NHS Foundation Trust, London, United Kingdom. Electronic address: f.ng@imperial.ac.uk., Sau A; National Heart and Lung Institute, Imperial College London, United Kingdom; Department of Cardiology, Imperial College Healthcare NHS Trust, London, United Kingdom. Electronic address: as7909@imperial.ac.uk.
Source: Heart rhythm [Heart Rhythm] 2026 Mar; Vol. 23 (3), pp. 515-524. Date of Electronic Publication: 2025 Oct 14.
Publication Type: Journal Article; Multicenter Study
Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 101200317 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1556-3871 (Electronic) Linking ISSN: 15475271 NLM ISO Abbreviation: Heart Rhythm Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1556-3871
DOI:10.1016/j.hrthm.2025.10.024