The Challenges of Using ChatGPT for Clinical Decision Support in Orthopaedic Surgery: A Pilot Study
When given history, physical examination, and imaging interpretations, ChatGPT is able to synthesize complex clinical data into a reasonable and most importantly safe assessment and plan for common fractures seen by orthopaedic surgeons. Evaluating large language models is an ongoing challenge; however, using actual clinical courses as a "benchmark" for comparison presents a possible avenue for further research.
Authors
- Peter L. Schilling (ORCID: https://orcid.org/0000-0002-6487-0123)
- Brandon G. Hill (ORCID: https://orcid.org/0000-0002-4140-0460)
- Michael A. McNamara (ORCID: https://orcid.org/0000-0001-9870-576X)
Institutions
- Dartmouth–Hitchcock Medical Center (US)
- Object Research Systems (Canada) (CA)
Publication Details
- Journal
- Journal of the American Academy of Orthopaedic Surgeons
- Published
- 2025-03-26
- DOI
- https://doi.org/10.5435/jaaos-d-24-01072
- Citations
- 4
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 2.62