Deep learning radiomics of left atrial appendage features for predicting atrial fibrillation recurrence.
Journal:
BMC medical imaging
Published Date:
May 26, 2025
Abstract
BACKGROUND: Structural remodeling of the left atrial appendage (LAA) is characteristic of atrial fibrillation (AF), and LAA morphology impacts radiofrequency catheter ablation (RFCA) outcomes. In this study, we aimed to develop and validate a predictive model for AF ablation outcomes using LAA morphological features, deep learning (DL) radiomics, and clinical variables.