APA (7th ed.) Citation

Svennberg, E., Han, J. K., Caiani, E. G., Engelhardt, S., Ernst, S., Friedman, P., . . . 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, 27(5), . https://doi.org/10.1093/europace/euaf071

Chicago Style (17th ed.) Citation

Svennberg, Emma, et al. "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 27, no. 5 (2025). https://doi.org/10.1093/europace/euaf071.

MLA (9th ed.) Citation

Svennberg, Emma, et al. "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, vol. 27, no. 5, 2025, https://doi.org/10.1093/europace/euaf071.