Understanding the role of machine learning in predicting progression of osteoarthritis.

Journal: The bone & joint journal
Published Date: Nov 1, 2024

Abstract

AIMS: Machine learning (ML), a branch of artificial intelligence that uses algorithms to learn from data and make predictions, offers a pathway towards more personalized and tailored surgical treatments. This approach is particularly relevant to prevalent joint diseases such as osteoarthritis (OA). In contrast to end-stage disease, where joint arthroplasty provides excellent results, early stages of OA currently lack effective therapies to halt or reverse progression. Accurate prediction of OA progression is crucial if timely interventions are to be developed, to enhance patient care and optimize the design of clinical trials.

Authors

  • Simone Castagno
    Department of Interventional Radiology, Royal Free Hospital, London, United Kingdom.
  • Benjamin Gompels
    Department of Surgery, University of Cambridge, Cambridge, UK.
  • Estelle Strangmark
    Department of Surgery, University of Cambridge, Cambridge, UK.
  • Eve Robertson-Waters
    Department of Surgery, University of Cambridge, Cambridge, UK.
  • Mark Birch
    Department of Surgery, University of Cambridge, Cambridge, UK.
  • Mihaela van der Schaar
    University of California, Los Angeles, CA, USA.
  • Andrew W McCaskie
    Department of Surgery, University of Cambridge, Cambridge, UK.

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