An artificial neural network model based on standing lateral radiographs for predicting sitting pelvic tilt in healthy adults

BACKGROUND: Spinopelvic motion, the cornerstone of the sagittal balance of the human body, is pivotal in patient-specific total hip arthroplasty. PURPOSE: This study aims to develop a novel model using back propagation neural network (BPNN) to predict pelvic changes when one sits down, based on stan...

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Detalles Bibliográficos
Autores principales: Zhao, Minwei, He, Yuanbo, Li, Shuai, Chen, Huizhu, Li, Weishi, Tian, Hua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Surgery
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9515412/
https://www.ncbi.nlm.nih.gov/pubmed/36189394
http://dx.doi.org/10.3389/fsurg.2022.977505

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9515412/
https://www.ncbi.nlm.nih.gov/pubmed/36189394
http://dx.doi.org/10.3389/fsurg.2022.977505

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