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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| 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 |