Development and Comparison of Multimodal Models for Preoperative Prediction of Outcomes After Endovascular Aneurysm Repair

OBJECTIVE: The aim of this study was to develop and compare multimodal models for predicting outcomes after endovascular abdominal aortic aneurysm repair (EVAR) based on morphological, deep learning (DL), and radiomic features. METHODS: We retrospectively reviewed 979 patients (January 2010—December...

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Detalles Bibliográficos
Autores principales: Wang, Yonggang, Zhou, Min, Ding, Yong, Li, Xu, Zhou, Zhenyu, Shi, Zhenyu, Fu, Weiguo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9086541/
https://www.ncbi.nlm.nih.gov/pubmed/35557519
http://dx.doi.org/10.3389/fcvm.2022.870132

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9086541/
https://www.ncbi.nlm.nih.gov/pubmed/35557519
http://dx.doi.org/10.3389/fcvm.2022.870132

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