An analysis of ChatGPT 4.0 and Google Gemini: readability, accuracy, and quality as patient education tools for common sports injuries
Our results show that responses to complex injuries have significantly higher reading grade levels with minor accuracy issues, but no differences in understandability and actionability. With better reading level, quality, and actionability, ChatGPT and Gemini chatbots could become conventional options for general information on injuries because they have minimal misinformation and high understandability.
Authors
- Arie Monas
- Anup Singh (ORCID: https://orcid.org/0000-0001-6744-8326)
- Mitchell K. Ng (ORCID: https://orcid.org/0000-0002-5831-055X)
- David Musheyev
- Aaron B. Lavi
- Netanel Yomtov
- Eli Berglas
- Michael Mesa
Institutions
- State University of New York (US)
- SUNY Downstate Health Sciences University (US)
Publication Details
- Journal
- The Journal of Sports Medicine and Physical Fitness
- Published
- 2025-11-27
- DOI
- https://doi.org/10.23736/s0022-4707.25.17137-5
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00