ChatGPT and Gemini Are Not Consistently Concordant With the 2020 American Academy of Orthopaedic Surgeons Clinical Practice Guidelines When Evaluating Rotator Cuff Injury
This study provides evidence that cautions patients not to rely solely on artificial intelligence for recommendations about rotator cuff injuries.
Authors
- Robert L. Parisien (ORCID: https://orcid.org/0000-0002-7562-8375)
- Omar Guerrero (ORCID: https://orcid.org/0009-0009-0566-3042)
- Michael N. Megafu (ORCID: https://orcid.org/0000-0003-4215-2144)
- Bradford O. Parsons (ORCID: https://orcid.org/0000-0001-7264-7282)
- Avanish Yendluri (ORCID: https://orcid.org/0009-0005-3383-8138)
- Xinning Li (ORCID: https://orcid.org/0000-0002-7577-847X)
- Leesa M. Galatz (ORCID: https://orcid.org/0000-0003-1173-1899)
- John D. A. Kelly (ORCID: https://orcid.org/0000-0002-6258-8327)
Institutions
- Boston University (US)
- Mount Sinai Hospital (US)
- University of Connecticut (US)
- Mount Sinai Medical Center (US)
- Mount Sinai Hospital (US)
- A.T. Still University (US)
- UConn Health (US)
- University of Pennsylvania (US)
- Icahn School of Medicine at Mount Sinai (US)
Publication Details
- Journal
- Arthroscopy The Journal of Arthroscopic and Related Surgery
- Published
- 2025-02-04
- DOI
- https://doi.org/10.1016/j.arthro.2025.01.039
- Citations
- 4
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 2.62