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Updated: Jun 4, 2025

Estimating Bilateral Atrial Function by Cardiovascular Magnetic Resonance Feature Tracking in Patients with Paroxysmal Atrial Fibrillation
Published on: July 20, 2022
Charbel Noujaim1, Han Feng1, Ghassan Bidaoui1
1Tulane University School of Medicine, Department of Cardiology, Tulane Research Innovation for Arrhythmia Discovery, New Orleans, Louisiana, USA.
Machine learning identified a high-risk group for catheter ablation failure in persistent atrial fibrillation. This group has older age, higher fibrosis, elevated BMI, and larger left atrial volume, indicating a need for personalized treatment strategies.
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