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A Machine-Learning-Based Approach for Predicting Mechanical Performance of Semi-Porous Hip Stems
Novel designs of porous and semi-porous hip stems attempt to alleviate complications such as aseptic loosening, stress shielding, and eventual implant failure. Various designs of hip stems are modeled to simulate biomechanical performance using finite element analysis; however, these models are comp...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10054603/ https://www.ncbi.nlm.nih.gov/pubmed/36976080 http://dx.doi.org/10.3390/jfb14030156 |