Artificial intelligence software standardizes electrogram-based ablation outcome for persistent atrial fibrillation.

Julien SeitzThéophile Mohr DurdezJean P AlbenqueAndré PisapiaEdouard GitenayCyril DurandJacques MonteauGhassan MoubarakGuillaume ThéodoreAntoine LepillierAlexandre ZhaoMichel BremondyAlexandre MaluskiBruno CauchemezStephane CombesYves GuyomarSébastien HeulsOlivier ThomasGuillaume PenarandaSabrina SiameAnthony AppetitiPaola MilpiedClément BarsJérôme Kalifa

Published in: Journal of cardiovascular electrophysiology (2022)

VX1, an expertise-based artificial intelligence software solution, allowed for robust center-to-center standardization of acute and long-term ablation outcomes after electrogram-based ablation.

Keyphrases

artificial intelligence
catheter ablation
machine learning
big data
atrial fibrillation
deep learning
radiofrequency ablation
left atrial
liver failure
left atrial appendage
heart failure
respiratory failure
aortic dissection
left ventricular
venous thromboembolism
solid state