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Prediction of total knee replacement using deep learning analysis of knee MRI
Current methods for assessing knee osteoarthritis (OA) do not provide comprehensive information to make robust and accurate outcome predictions. Deep learning (DL) risk assessment models were developed to predict the progression of knee OA to total knee replacement (TKR) over a 108-month follow-up p...
Autores principales: | Rajamohan, Haresh Rengaraj, Wang, Tianyu, Leung, Kevin, Chang, Gregory, Cho, Kyunghyun, Kijowski, Richard, Deniz, Cem M. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10147603/ https://www.ncbi.nlm.nih.gov/pubmed/37117260 http://dx.doi.org/10.1038/s41598-023-33934-1 |
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