MRI-based artificial intelligence to predict infection following total hip arthroplasty failure

PURPOSE: To investigate whether artificial intelligence (AI) can differentiate septic from non-septic total hip arthroplasty (THA) failure based on preoperative MRI features. MATERIALS AND METHODS: We included 173 patients (98 females, age: 67 ± 12 years) subjected to first-time THA revision surgery...

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Detalles Bibliográficos
Autores principales: Albano, Domenico, Gitto, Salvatore, Messina, Carmelo, Serpi, Francesca, Salvatore, Christian, Castiglioni, Isabella, Zagra, Luigi, De Vecchi, Elena, Sconfienza, Luca Maria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Milan 2023
Materias:
Musculoskeletal Radiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10020270/
https://www.ncbi.nlm.nih.gov/pubmed/36786971
http://dx.doi.org/10.1007/s11547-023-01608-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10020270/
https://www.ncbi.nlm.nih.gov/pubmed/36786971
http://dx.doi.org/10.1007/s11547-023-01608-7

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