Feasibility study of the Cambridge knee injury tool (CamKIT): 18-month analysis of acute knee injuries at an urgent treatment centre
The CamKIT continues to show promise in guiding early triage and management of acute knee injuries. Future research involves a multicenter study as well as the integration of machine learning to develop a more robust prediction tool and create a risk-stratified management protocol.
Authors
- Simone Castagno (ORCID: https://orcid.org/0000-0002-3411-5880)
- Stephen McDonnell (ORCID: https://orcid.org/0000-0002-3181-4192)
- Benjamin Gompels (ORCID: https://orcid.org/0000-0001-5966-6569)
- Thomas Molloy (ORCID: https://orcid.org/0009-0007-2510-4972)
- Andrew W. McCaskie (ORCID: https://orcid.org/0000-0001-6476-0832)
Institutions
- The University of Queensland (AU)
- University of Cambridge (GB)
- Mayne Pharma (Australia) (AU)
- Addenbrooke's Hospital (GB)
Publication Details
- Journal
- Journal of Clinical Orthopaedics and Trauma
- Published
- 2025-09-10
- DOI
- https://doi.org/10.1016/j.jcot.2025.103203
- Primary Topic
- Shoulder Injury and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00