The Accuracy of Artificial Intelligence Models in Carpal Tunnel Diagnosis: A Systematic Review and Meta-analysis
AI models show promise in reliably diagnosing CTS, which can serve as a useful adjunct in the clinic to promote efficiency and workflow while standardizing diagnostic practices.
Authors
- Chloe R. Wong (ORCID: https://orcid.org/0000-0002-3595-5160)
- John Milkovich (ORCID: https://orcid.org/0000-0001-8907-1371)
- Heather L. Baltzer (ORCID: https://orcid.org/0000-0002-9185-206X)
- Kaitlyn Soro
- Sumeet Sekhon (ORCID: https://orcid.org/0009-0003-9669-8166)
- Ahmed Maalej
Institutions
- University of Ottawa (CA)
- University of Toronto (CA)
- Queen's University (CA)
- University of Sharjah (AE)
Publication Details
- Journal
- Plastic & Reconstructive Surgery
- Published
- 2026-02-02
- DOI
- https://doi.org/10.1097/prs.0000000000012845
- Primary Topic
- Peripheral Nerve Disorders
- Type
- article
- Field-Weighted Citation Impact
- 0.00