Deep Learning-Based Recurrence Prediction of Atrial Fibrillation After Catheter Ablation.
Journal:
Circulation journal : official journal of the Japanese Circulation Society
Published Date:
Jan 25, 2022
Abstract
BACKGROUND: Radiofrequency catheter ablation (RFCA) is an effective therapy for atrial fibrillation (AF). However, it the problem of AF recurrence remains. This study investigates whether a deep convolutional neural network (CNN) can accurately predict AF recurrence in patients with AF who underwent RFCA, and compares CNN with conventional statistical analysis.