Comparison of accuracy and consistency of AI Language models when answering standardised dental MCQs
All five AI models showed high levels of accuracy in answering dental MCQs, and three of the models, ChatGPT-4, Grok XI and Gemini had strong test-retest reliability. These AI models show promise as educational tools, though continued evaluation and refinement are needed for broader clinical or academic applications.
Authors
- Abdullah Faraj Alshammari (ORCID: https://orcid.org/0000-0002-5200-6362)
- Ahmed A. Madfa (ORCID: https://orcid.org/0000-0001-6124-0129)
- Khlood A. Alkurdi (ORCID: https://orcid.org/0009-0002-3164-5461)
- Yousef E. Alenezi
- Bassam Ali Anazi
Institutions
- Qassim University (SA)
- Queen Mary University of London (GB)
- University of Ha'il (SA)
Publication Details
- Journal
- BMC Medical Education
- Published
- 2025-10-28
- DOI
- https://doi.org/10.1186/s12909-025-07624-7
- Citations
- 4
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 2.62