A Deep Learning‐Based Multimodal Fusion Model for Recurrence Prediction in Persistent Atrial Fibrillation Patients.
Background: The long‐term success rate of atrial fibrillation (AF) ablation remains a significant clinical challenge, particularly in patients with persistent atrial fibrillation (Persistent AF, PeAF). The recurrence risk in PeAF patients is influenced by various factors, which complicates the predi...
| Published in: | Journal of Cardiovascular Electrophysiology Vol. 36; no. 8; pp. 1785 - 1798 |
|---|---|
| Main Authors: | , , , , , , |
| Format: | equations & formulas research tables/charts Journal Article |
| Published: |
Wiley-Blackwell
Aug2025
|
| Online Access: | View this record in EBSCOhost |