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
- DOI
- 10.1093/europace/euaf071
- Published
- 2025-03-31
- Container
- Europace
- Publisher
- Oxford University Press (OUP)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1093/europace/euaf071,
title = {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},
author = {Emma Svennberg and Janet K Han and Enrico G Caiani and Sandy Engelhardt and Sabine Ernst and Paul Friedman and Rodrigue Garcia and Hamid Ghanbari and Gerhard Hindricks and Sharon H Man and José Millet and Sanjiv M Narayan and G André Ng and Peter A Noseworthy and Fleur V Y Tjong and Julia Ramírez and Jagmeet P Singh and Natalia Trayanova and David Duncker and Jacob Tfelt Hansen and Joseph Barker and Ruben Casado-Arroyo and Neal A Chatterjee and Giulio Conte and Søren Zöga Diederichsen and Dominik Linz and Arun Umesh Mahtani and Alessandro Zorzi},
year = {2025},
journal = {Europace},
doi = {10.1093/europace/euaf071},
url = {https://doi.org/10.1093/europace/euaf071}
}RIS
TY - JOUR TI - 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 AU - Emma Svennberg AU - Janet K Han AU - Enrico G Caiani AU - Sandy Engelhardt AU - Sabine Ernst AU - Paul Friedman AU - Rodrigue Garcia AU - Hamid Ghanbari AU - Gerhard Hindricks AU - Sharon H Man AU - José Millet AU - Sanjiv M Narayan AU - G André Ng AU - Peter A Noseworthy AU - Fleur V Y Tjong AU - Julia Ramírez AU - Jagmeet P Singh AU - Natalia Trayanova AU - David Duncker AU - Jacob Tfelt Hansen AU - Joseph Barker AU - Ruben Casado-Arroyo AU - Neal A Chatterjee AU - Giulio Conte AU - Søren Zöga Diederichsen AU - Dominik Linz AU - Arun Umesh Mahtani AU - Alessandro Zorzi PY - 2025 JO - Europace DO - 10.1093/europace/euaf071 UR - https://doi.org/10.1093/europace/euaf071 ER -
APA
Svennberg, E., Han, J. K., Caiani, E. G., Engelhardt, S., Ernst, S., Friedman, P., Garcia, R., Ghanbari, H., Hindricks, G., Man, S. H., Millet, J., Narayan, S. M., Ng, G. A., Noseworthy, P. A., Tjong, F. V. Y., Ramírez, J., Singh, J. P., Trayanova, N., Duncker, D., Hansen, J. T., Barker, J., Casado-Arroyo, R., Chatterjee, N. A., Conte, G., Diederichsen, S. Z., Linz, D., Mahtani, A. U., & Zorzi, A. (2025). 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. Europace. https://doi.org/10.1093/europace/euaf071
Source records
- crossref · retrieved 2026-09-26T19:08:01.706Z