articleEP EuropaceMar 31, 2025HYBRID OA

State of the Art of Artificial Intelligence in Clinical Electrophysiology in 2025: A Scientific Statement of the European Heart Rhythm Association (EHRA) of the ESC, the Heart Rhythm Society (HRS), and the ESC Working Group on E-Cardiology

ESEmma SvennbergJKJanet K. HanEGEnrico G. CaianiSESandy EngelhardtSESabine Ernst

Karolinska University Hospital · Karolinska Institutet · +56 more institutions

PubMed
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Abstract

AIMS: Artificial intelligence (AI) has the potential to transform cardiac electrophysiology (EP), particularly in arrhythmia detection, procedural optimization, and patient outcome prediction. However, a standardized approach to reporting and understanding AI-related research in EP is lacking. This scientific statement aims to develop and apply a checklist for AI-related research reporting in EP to enhance transparency, reproducibility, and understandability in the field. METHODS AND RESULTS: An AI checklist specific to EP was developed with expert input from the writing group and voted on using a modified Delphi process, leading to the development of a 29-item checklist. The checklist was subsequently applied…

Citation impact

58
total citations
FWCI
63.75
Percentile
100%
References
150
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Authors

28

Topics & keywords

Topics
Keywords
  • Checklist
  • Heart Rhythm
  • Cardiac electrophysiology
  • Delphi
  • Delphi method
  • Atrial fibrillation
  • Medicine
  • Medical physics
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