A radiographic artificial intelligence tool to identify candidates suitable for partial knee arthroplasty.

Journal: Archives of orthopaedic and trauma surgery
Published Date:

Abstract

INTRODUCTION: Knee osteoarthritis is a prevalent condition frequently necessitating knee replacement surgery, with demand projected to rise substantially. Partial knee arthroplasty (PKA) offers advantages over total knee arthroplasty (TKA), yet its utilisation remains low despite guidance recommending consideration alongside TKA in shared decision making. Radiographic decision aids exist but are underutilised due to clinician time constraints.

Authors

  • Thomas J York
    MSk Lab, Imperial College London, Sir Michael Uren Hub, 86 Wood Lane, London, W12 0BZ, UK.
  • Bartosz Szyszka
    MSk Lab, Imperial College London, Sir Michael Uren Hub, 86 Wood Lane, London, W12 0BZ, UK.
  • Angela Brivio
    Istituto Clinico Citta Studi, Milan, Italy.
  • Omar Musbahi
    Department of Surgery and Cancer, Imperial College London, White City Campus, London W12 0BZ, United Kingdom.
  • David Barrett
    DeepMind, LondonN1C4AG, United Kingdom. adamsantoro@google.com felixhill@google.com barrettdavid@google.com draposo@google.com botvinick@google.com countzero@google.com www.deepmind.com.
  • Justin P Cobb
    MSk Lab, Imperial College London, Sir Michael Uren Hub, 86 Wood Lane, London, W12 0BZ, UK.
  • Gareth G Jones
    MSk Lab, Sir Michael Uren Hub, Imperial College London, London, United Kingdom.