How accurately do large language models answer patient questions on anterior cruciate ligament tears? A comparative study
All tested LLMs show promise for patient education regarding ACL injuries, but notable performance differences exist. Model choice is therefore critical. While all responses were evaluated by clinical experts, the lack of guideline-based validation highlights the need for further studies assessing both accuracy and patient comprehension.
Authors
- S. Youssef (ORCID: https://orcid.org/0000-0002-5420-0206)
- Georg Osterhoff (ORCID: https://orcid.org/0000-0001-5051-0998)
- Yasmin Youssef (ORCID: https://orcid.org/0000-0001-6878-1059)
- Ralf Henkelmann (ORCID: https://orcid.org/0000-0001-5274-1896)
- Pierre Hepp (ORCID: https://orcid.org/0000-0002-6510-2943)
- Peter Melcher (ORCID: https://orcid.org/0000-0002-4747-8488)
- Jan Theopold (ORCID: https://orcid.org/0000-0003-2884-8030)
- Maria Elze (ORCID: https://orcid.org/0009-0007-4215-4218)
- Anton Brehmer
Institutions
- Unfallkrankenhaus Berlin (DE)
- University Hospital Leipzig (DE)
- Helios Kliniken (DE)
- Leipzig University (DE)
Publication Details
- Journal
- The Knee
- Published
- 2025-11-20
- DOI
- https://doi.org/10.1016/j.knee.2025.11.002
- Citations
- 1
- Primary Topic
- Knee injuries and reconstruction techniques
- Type
- article
- Field-Weighted Citation Impact
- 2.01