References

1 VX1 SYSTEM USER MANUAL, I001-1.4, February 2023

2 SEITZ, Julien, MOHR DURDEZ, Théophile, ALBENQUE, Jean‐Paul, and al. Artificial Intelligence Software Standardizes Electrogram‐based Ablation Outcome for Persistent Atrial Fibrillation. Journal of Cardiovascular Electrophysiology, 2022. https://doi.org/10.1111/jce.15657

3 SEITZ, Julien, BARS, Clément, THÉODORE, Guillaume, and al. AF ablation guided by spatiotemporal electrogram dispersion without pulmonary vein isolation: a wholly patient-tailored approach. Journal of the American College of Cardiology, 2017, vol. 69, no 3, p. 303-321. https://doi.org/10.1016/j.jacc.2016.10.065

4 DEISENHOFER, Isabel. Electrogram‐based AF ablation–finally, reproducibility! Journal of Cardiovascular Electrophysiology, 2022. https://doi.org/10.1111/jce.15660

5 “HRS/EHRA/ECAS/APHRS/SOLAECE Expert Consensus Statement on Catheter and Surgical Ablation of Atrial Fibrillation”, Heart Rhythm Society, 2017

6 Feeny, et al. Artificial Intelligence and Machine Learning in Arrhythmias and Cardiac Electrophysiology; Circ Arrhythm Electrophysiol. 2020;13:e007952. DOI: 10.1161/CIRCEP.119.007952

7 “Global epidemiology of atrial fibrillation: An increasing epidemic and public health challenge” Giuseppe Lippi, Fabian Sanchis-Gomar, Gianfranco Cervellino

8 “Epidemiology of Atrial Fibrillation in the 21st Century” Jelena Kornej, Christin S. Börschel, Emelia J. Benjamin and Renate B. Schnabel