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Updated: Oct 3, 2025
The Use of Mixed Reality in Custom-Made Revision Hip Arthroplasty: A First Case Report
Published on: August 4, 2022
Applications of artificial intelligence and machine learning for the hip and knee surgeon: current state and
Christophe Nich1, Julien Behr2, Vincent Crenn2
1Department of Traumatology and Orthopaedic Surgery, Hotel-Dieu University Hospital, University of Nantes, 1 Place Alexis-Ricordeau, 44093, Nantes Cedex 1, France. pr.christophe.nich@gmail.com.
Background:
Artificial Intelligence (AI)/Machine Learning (ML) applications have been proven efficient to improve diagnosis, to stratify risk, and to predict outcomes in many respective medical specialties, including in orthopaedics.
Challenges And Discussion:
Regarding hip and knee reconstruction surgery, AI/ML have not made it yet to clinical practice. In this review, we present sound AI/ML applications in the field of hip and knee degenerative disease and reconstruction. From osteoarthritis (OA) diagnosis and prediction of its advancement, clinical decision-making, identification of hip and knee implants to prediction of clinical outcome and complications following a reconstruction procedure of these joints, we report how AI/ML systems could facilitate data-driven personalized care for our patients.
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