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

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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Bibliographic Details
Main Authors: Mattia Loppini, Francesco Manlio Gambaro, Katia Chiappetta, Guido Grappiolo, Anna Maria Bianchi, Valentina D. A. Corino
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Bioengineering
Subjects:
hip prothesis
machine learning
orthopedics
bioengineering
Online Access:https://www.mdpi.com/2306-5354/9/7/288

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