Artificial Intelligence Large Language Models Address Anterior Cruciate Ligament Reconstruction: Superior Clarity and Completeness by Gemini Compared With ChatGPT‐4 in Response to American Academy of Orthopaedic Surgeons Clinical Practice Guidelines
The current study addresses a current gap in the LLM and ACLR literature by comparing the performance of ChatGPT-4 to Gemini, which is growing in popularity with more than 300 million individual uses in May 2024 alone. Moreover, the results demonstrated superior performance of Gemini in both clarity and completeness, which are critical elements of a tool being used by patients for educational purposes. Additionally, the current study uses question prompts based on the AAOS CPG, which may be used as a method of standardization for future investigations on performance of LLM platforms. Thus, the results of this study may be of interest to both the readership of Arthroscopy and patients.
Authors
- Brett D. Owens (ORCID: https://orcid.org/0000-0002-9972-0096)
- John Milner
- Matthew Quinn
- Steven F. DeFroda (ORCID: https://orcid.org/0000-0001-8518-5371)
- Phillip Schmitt
- Ramin Tabaddor (ORCID: https://orcid.org/0000-0002-7182-1186)
- Stephen Marcaccio (ORCID: https://orcid.org/0000-0003-2766-327X)
- Nicholas J. Lemme (ORCID: https://orcid.org/0000-0002-3136-7177)
- Patrick Morrissey
Institutions
- Brown University (US)
- Columbia Orthopaedic Group (US)
- University of Pittsburgh Medical Center (US)
- University of Missouri (US)
Publication Details
- Journal
- Arthroscopy The Journal of Arthroscopic and Related Surgery
- Published
- 2024-09-21
- DOI
- https://doi.org/10.1016/j.arthro.2024.09.020
- Citations
- 14
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 1.68