Image based artificial intelligence-enhanced electrocardiogram prediction of incident atrial fibrillation.
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| Title: | Image based artificial intelligence-enhanced electrocardiogram prediction of incident atrial fibrillation. |
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| 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 |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41101371 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Image based artificial intelligence-enhanced electrocardiogram prediction of incident atrial fibrillation. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Zeidaabadi+B%22">Zeidaabadi B</searchLink>; National Heart and Lung Institute, Imperial College London, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Patlatzoglou+K%22">Patlatzoglou K</searchLink>; National Heart and Lung Institute, Imperial College London, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Barker+J%22">Barker J</searchLink>; National Heart and Lung Institute, Imperial College London, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Pastika+L%22">Pastika L</searchLink>; National Heart and Lung Institute, Imperial College London, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Khattak+GR%22">Khattak GR</searchLink>; National Heart and Lung Institute, Imperial College London, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Gurnani+M%22">Gurnani M</searchLink>; National Heart and Lung Institute, Imperial College London, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Da+Silva+Anjos+Machado+X%22">Da Silva Anjos Machado X</searchLink>; National Heart and Lung Institute, Imperial College London, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Peters+NS%22">Peters NS</searchLink>; National Heart and Lung Institute, Imperial College London, United Kingdom; Department of Cardiology, Imperial College Healthcare NHS Trust, London, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Kramer+DB%22">Kramer DB</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Waks+JW%22">Waks JW</searchLink>; Harvard-Thorndike Electrophysiology Institute, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts.<br /><searchLink fieldCode="AU" term="%22Ng+FS%22">Ng FS</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Sau+A%22">Sau A</searchLink>; 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. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101200317%22">Heart rhythm</searchLink> [Heart Rhythm] 2026 Mar; Vol. 23 (3), pp. 515-524. <i>Date of Electronic Publication: </i>2025 Oct 14. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Multicenter Study – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier%22">Elsevier </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101200317 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1556-3871 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2215475271%22">15475271 </searchLink><i>NLM ISO Abbreviation: </i>Heart Rhythm <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41101371 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.hrthm.2025.10.024 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 515 Titles: – TitleFull: Image based artificial intelligence-enhanced electrocardiogram prediction of incident atrial fibrillation. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zeidaabadi B – PersonEntity: Name: NameFull: Patlatzoglou K – PersonEntity: Name: NameFull: Barker J – PersonEntity: Name: NameFull: Pastika L – PersonEntity: Name: NameFull: Khattak GR – PersonEntity: Name: NameFull: Gurnani M – PersonEntity: Name: NameFull: Da Silva Anjos Machado X – PersonEntity: Name: NameFull: Peters NS – PersonEntity: Name: NameFull: Kramer DB – PersonEntity: Name: NameFull: Waks JW – PersonEntity: Name: NameFull: Ng FS – PersonEntity: Name: NameFull: Sau A IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: 2026 Mar Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1556-3871 Numbering: – Type: volume Value: 23 – Type: issue Value: 3 Titles: – TitleFull: Heart rhythm Type: main |
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