Generalisable artificial intelligence ECG trained on public data for outcome prediction after transcatheter aortic valve replacement.

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Bibliographic Details
Title: Generalisable artificial intelligence ECG trained on public data for outcome prediction after transcatheter aortic valve replacement.
Authors: Hsiao Y; National Taiwan University Hospital Hsin-Chu Branch Hsin-Chu Hospital, Hsinchu, Taiwan., Hung KH; Research Center for Information Technology Innovation, Academia Sinica, Taipei, Taiwan., Yeh CF; National Taiwan University Hospital, Taipei, Taiwan., Chen YH; National Taiwan University Hospital, Taipei, Taiwan., Ko TY; National Taiwan University Hospital, Taipei, Taiwan., Lai CF; Renal Division, National Taiwan University Hospital, Taipei, Taiwan., Lin LC; Renal Division, National Taiwan University Hospital, Taipei, Taiwan., Chang WT; Department of Emergency Medicine, National Taiwan University Hospital, Taipei, Taiwan., Tsao Y; Research Center for Information Technology Innovation, Academia Sinica, Taipei, Taiwan yu.tsao@citi.sinica.edu.tw linmaoshin@gmail.com., Lin MS; Division of Cardiology, National Taiwan University Hospital and College of Medicine, Taipei, Taiwan yu.tsao@citi.sinica.edu.tw linmaoshin@gmail.com., Kao HL; Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan., Wu CC; National Taiwan University Hospital, Taipei, Taiwan.
Source: Heart (British Cardiac Society) [Heart] 2026 May 28. Date of Electronic Publication: 2026 May 28.
Publication Type: Journal Article
Journal Info: Publisher: BMJ Pub. Group Country of Publication: England NLM ID: 9602087 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1468-201X (Electronic) Linking ISSN: 13556037 NLM ISO Abbreviation: Heart Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1468-201X
DOI:10.1136/heartjnl-2025-327462