Automatic Identification of Failure in Hip Replacement: An Artificial Intelligence Approach

Background: Total hip arthroplasty (THA) follow-up is conventionally conducted with serial X-ray imaging in order to ensure the early identification of implant failure. The purpose of this study is to develop an automated radiographic failure detection system. Methods: 630 patients with THA were inc...

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Detalles Bibliográficos
Autores principales: Loppini, Mattia, Gambaro, Francesco Manlio, Chiappetta, Katia, Grappiolo, Guido, Bianchi, Anna Maria, Corino, Valentina D. A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9312125/
https://www.ncbi.nlm.nih.gov/pubmed/35877339
http://dx.doi.org/10.3390/bioengineering9070288

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9312125/
https://www.ncbi.nlm.nih.gov/pubmed/35877339
http://dx.doi.org/10.3390/bioengineering9070288

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