Effectiveness of ChatGPT, Google Gemini, and Microsoft Copilot in Answering Thai Drug Information Queries: Cross-Sectional Study
The evaluated AI chatbots were able to answer the queries with generally complete content; however, we found limited accuracy and occasional high-risk errors in responding to drug-related questions in Thai. All models exhibited good reproducibility.
Authors
- Nattawut Leelakanok (ORCID: https://orcid.org/0000-0003-3533-4775)
- Teerarat Todsarot (ORCID: https://orcid.org/0009-0002-1396-2172)
- Suphannika Pornwattanakavee (ORCID: https://orcid.org/0000-0002-2936-8066)
- Ratchanon Takun (ORCID: https://orcid.org/0009-0004-5996-4119)
- Assadawut Sumativit (ORCID: https://orcid.org/0009-0008-1409-2547)
- Marisa Senngam (ORCID: https://orcid.org/0000-0002-2936-8066)
Institutions
- Burapha University (TH)
Publication Details
- Journal
- JMIR AI
- Published
- 2025-10-24
- DOI
- https://doi.org/10.2196/79751
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.65