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...

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Detalles Bibliográficos
Autores principales: Rajamohan, Haresh Rengaraj, Wang, Tianyu, Leung, Kevin, Chang, Gregory, Cho, Kyunghyun, Kijowski, Richard, Deniz, Cem M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
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

Internet

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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