A radiographic artificial intelligence tool to identify candidates suitable for partial knee arthroplasty
The AI decision tool shows promise in identifying PKA candidates, potentially addressing underutilisation of this procedure. Its integration into clinical practice could enhance shared decision making and improve patient outcomes. Further validation and implementation studies are warranted to assess real-world utility and impact.
Authors
- Gareth G. Jones (ORCID: https://orcid.org/0000-0002-3428-8765)
- Thomas York (ORCID: https://orcid.org/0000-0002-3946-561X)
- Bartosz Szyszka (ORCID: https://orcid.org/0000-0003-2733-2876)
- Omar Musbahi (ORCID: https://orcid.org/0000-0002-4095-0989)
- Angela Brivio (ORCID: https://orcid.org/0000-0003-3698-8594)
- Justin Peter Cobb (ORCID: https://orcid.org/0000-0002-6095-8822)
- David M. Barrett (ORCID: https://orcid.org/0000-0002-9407-6297)
Institutions
- King Edward VII Hospital (GB)
- Istituto di Sessuologia Clinica (IT)
- University of Southampton (GB)
- Imperial College London (GB)
Publication Details
- Journal
- Archives of Orthopaedic and Trauma Surgery
- Published
- 2024-10-03
- DOI
- https://doi.org/10.1007/s00402-024-05589-8
- Citations
- 3
- Primary Topic
- Total Knee Arthroplasty Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 1.72
Funders
- Wellcome Trust
- National Institute for Health and Care Research