Factors Associated With the Accuracy of Large Language Models in Basic Medical Science Examinations: Cross-Sectional Study
The GPT-4 and Microsoft Bing models demonstrated equal and superior accuracy compared to GPT-3.5 and Google Bard in the domain of basic medical science. The accuracy of these models was significantly influenced by the item's difficulty index, indicating that the LLMs are more accurate when answering easier questions. This suggests that the more accurate models, such as GPT-4 and Bing, can be valuable tools for understanding and learning basic medical science concepts.
Authors
- Natthipong Pongsuwan
- Gun Bhakdisongkhram (ORCID: https://orcid.org/0000-0001-7434-9262)
- Naritsaret Kaewboonlert (ORCID: https://orcid.org/0009-0004-2035-5631)
- Jiraphon Poontananggul
Institutions
- Suranaree University of Technology (TH)
Publication Details
- Journal
- JMIR Medical Education
- Published
- 2024-12-04
- DOI
- https://doi.org/10.2196/58898
- Citations
- 6
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.72