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...

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Detalles Bibliográficos
Autores principales: Akkad, Khaled, Mehboob, Hassan, Alyamani, Rakan, Tarlochan, Faris
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10054603/
https://www.ncbi.nlm.nih.gov/pubmed/36976080
http://dx.doi.org/10.3390/jfb14030156

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