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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Autors principals:	Yanping Yin, Sixiang Jia, Jing Zheng, Wei Wang, Ziwen Wang, Jiangbo Lin, Wenting Lin, Chao Feng, Shudong Xia, Weili Ge
Format:	Artigo
Idioma:	Inglês
Publicat:	BMC 2025-05-01
Col·lecció:	BMC Medical Imaging
Matèries:	Atrial fibrillation recurrence Radiofrequency catheter ablation Deep learning Radiomics
Accés en línia:	https://doi.org/10.1186/s12880-025-01740-y
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