A comparison of customized GPTs and GPT-4o for self-medication knowledge: A feasibility study using the Japanese registered salesperson examination
This feasibility study demonstrates that minimal customization through reference materials upload can achieve performance improvements on knowledge-based assessments. However, examination performance represents only an indirect indicator of knowledge for self-medication support. Future research should evaluate LLMs performance in real-world case scenarios and assess practical utility and safety before implementation in consumer self-medication settings.
Authors
- Shota Okazaki
- Yuichi Mine (ORCID: https://orcid.org/0000-0002-7057-1955)
- Takeshi MURAYAMA
- Saori Takeda
Institutions
- Hiroshima University (JP)
- Sapporo City University (JP)
Publication Details
- Journal
- Digital Health
- Published
- 2026-02-01
- DOI
- https://doi.org/10.1177/20552076261427504
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00