Combining deep learning and machine learning for the automatic identification of hip prosthesis failure: Development, validation and explainability analysis

Revision hip arthroplasty has a less favorable outcome than primary total hip arthroplasty and an understanding of the timing of total hip arthroplasty failure may be helpful. The aim of this study is to develop a combined deep learning (DL) and machine learning (ML) approach to automatically detect hip prosthetic failure from conventional plain radiographs.

Reference: Combining deep learning and machine learning for the automatic identification of hip prosthesis failure: Development, validation and explainability analysis.
Muscato F, Corti A, Manlio Gambaro F, Chiappetta K, Loppini M, Corino VDA. Int J Med Inform. 2023 May 18;176:105095.

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