Artificial Intelligence-Based Evaluation of Post-Procedural Electrocardiographic Parameters to Identify Patients at Risk of Atrial Fibrillation Recurrence After Transcatheter Ablation.

Rosa G, De; M, Giuggia; M, Peyracchia; M, Peddis; Summa R, Di; E, Pelissero; G, Trapani; Los Rios D, De; F, Ugliano; P, Cirillo; G, Senatore

doi:10.3390/jcm14228248

Public

Artificial Intelligence-Based Evaluation of Post-Procedural Electrocardiographic Parameters to Identify Patients at Risk of Atrial Fibrillation Recurrence After Transcatheter Ablation.

Shared by NobleBlocks on Nov 20, 2025 • 12:00 AM UTC

Authors:

De Rosa G

Giuggia M

Peyracchia M

Abstract

<b>Background/Objectives:</b> Arrhythmic recurrence is a common issue affecting a significant percentage of patients undergoing transcatheter ablation (TCA) of Atrial Fibrillation (AF). The use of artificial intelligence (AI) for the identification of electrocardiographic predictors of post-ablation...

Subject

Artificial intelligence

Electrocardiography

Atrial fibrillation

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