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Review
. 2022 May;46(5):937-944.
doi: 10.1007/s00264-022-05346-9. Epub 2022 Feb 16.

Applications of artificial intelligence and machine learning for the hip and knee surgeon: current state and implications for the future

Christophe Nich  1 , Julien Behr  2 , Vincent Crenn  2 , Nicolas Normand  3 , Harold Mouchère  3 , Gaspard d'Assignies  4   5
Affiliations
Review

Applications of artificial intelligence and machine learning for the hip and knee surgeon: current state and implications for the future

Christophe Nich et al. Int Orthop. 2022 May.

Abstract

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.

Keywords: Artificial intelligence; Deep learning; Implant identification; Machine learning; Surgical complications; Total hip arthroplasty; Total knee arthroplasty.

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