000161106 001__ 161106 000161106 005__ 20251017144633.0 000161106 0247_ $$2doi$$a10.1093/europace/euaf071 000161106 0248_ $$2sideral$$a144288 000161106 037__ $$aART-2025-144288 000161106 041__ $$aeng 000161106 100__ $$aSvennberg, Emma 000161106 245__ $$aState 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 000161106 260__ $$c2025 000161106 5060_ $$aAccess copy available to the general public$$fUnrestricted 000161106 5203_ $$aAims 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 to assess reporting practices to identify areas where improvements could be made and provide an overview of the state of the art in AI-related EP research in three domains from May 2021 until May 2024: atrial fibrillation (AF) management, sudden cardiac death (SCD), and EP lab applications. The EHRA AI checklist was applied to 31 studies in AF management, 18 studies in SCD, and 6 studies in EP lab applications. Results differed between the different domains, but in no domain reporting of a specific item exceeded 55% of included papers. Key areas such as trial registration, participant details, data handling, and training performance were underreported (<20%). The checklist application highlighted areas where reporting practices could be improved to promote clearer, more comprehensive AI research in EP. Conclusion The EHRA AI checklist provides a structured framework for reporting AI research in EP. Its use can improve understanding but also enhance the reproducibility and transparency of AI studies, fostering more robust and reliable integration of AI into clinical EP practice. 000161106 536__ $$9info:eu-repo/grantAgreement/ES/AEI/PID2021-128972OA-I00$$9info:eu-repo/grantAgreement/ES/AEI/PID2023-148975OB-I00$$9info:eu-repo/grantAgreement/ES/MICINN/CNS2023-143599$$9info:eu-repo/grantAgreement/ES/MICINN/RYC2021-031413-I 000161106 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttps://creativecommons.org/licenses/by-nc-nd/4.0/deed.es 000161106 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion 000161106 700__ $$aHan, Janet K. 000161106 700__ $$aCaiani, Enrico G. 000161106 700__ $$aEngelhardt, Sandy 000161106 700__ $$aErnst, Sabine 000161106 700__ $$aFriedman, Paul 000161106 700__ $$aGarcia, Rodrigue 000161106 700__ $$aGhanbari, Hamid 000161106 700__ $$aHindricks, Gerhard 000161106 700__ $$aMan, Sharon H. 000161106 700__ $$aMillet, José 000161106 700__ $$aNarayan, Sanjiv M. 000161106 700__ $$aNg, G. André 000161106 700__ $$aNoseworthy, Peter A. 000161106 700__ $$aTjong, Fleur V.Y. 000161106 700__ $$0(orcid)0000-0003-4130-5866$$aRamírez, Julia$$uUniversidad de Zaragoza 000161106 700__ $$aSingh, Jagmeet P. 000161106 700__ $$aTrayanova, Natalia 000161106 700__ $$aDuncker, David 000161106 700__ $$aTfelt Hansen, Jacob 000161106 700__ $$aBarker, Joseph 000161106 700__ $$aCasado-Arroyo, Ruben 000161106 700__ $$aChatterjee, Neal A. 000161106 700__ $$aConte, Giulio 000161106 700__ $$aDiederichsen, Søren Zöga 000161106 700__ $$aLinz, Dominik 000161106 700__ $$aMahtani, Arun Umesh 000161106 700__ $$aZorzi, Alessandro 000161106 7102_ $$15008$$2800$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Teoría Señal y Comunicac. 000161106 773__ $$g27, 5 (2025), euaf071 [19 pp.]$$pEuropace$$tEuropace$$x1099-5129 000161106 8564_ $$s5941749$$uhttps://zaguan.unizar.es/record/161106/files/texto_completo.pdf$$yVersión publicada 000161106 8564_ $$s2946697$$uhttps://zaguan.unizar.es/record/161106/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada 000161106 909CO $$ooai:zaguan.unizar.es:161106$$particulos$$pdriver 000161106 951__ $$a2025-10-17-14:27:26 000161106 980__ $$aARTICLE