Deep learning radiomics of left atrial appendage features for predicting atrial fibrillation recurrence

Deep learning radiomics of left atrial appendage features for predicting atrial fibrillation recurrence

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 L...

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Bibliographic Details
Main Authors: Yanping Yin, Sixiang Jia, Jing Zheng, Wei Wang, Ziwen Wang, Jiangbo Lin, Wenting Lin, Chao Feng, Shudong Xia, Weili Ge
Format: Article
Language:English
Published: BMC 2025-05-01
Series:BMC Medical Imaging
Subjects:
Atrial fibrillation recurrence
Radiofrequency catheter ablation
Deep learning
Radiomics
Online Access:https://doi.org/10.1186/s12880-025-01740-y
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https://doi.org/10.1186/s12880-025-01740-y

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