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This paper is in the following e-collection/theme issue:

Applications of AI (948) Clinical Information and Decision Making (3681) Information Retrieval (488) Pharmacology and Pharmaceutics (159) Chatbots and Conversational Agents (1167) Generative Language Models Including ChatGPT (1502)

Published on in Vol 4 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/79751, first published .
Pharmacist and robot collaborate on a smartphone in a modern pharmacy.

Effectiveness of ChatGPT, Google Gemini, and Microsoft Copilot in Answering Thai Drug Information Queries: Cross-Sectional Study

Effectiveness of ChatGPT, Google Gemini, and Microsoft Copilot in Answering Thai Drug Information Queries: Cross-Sectional Study

Authors of this article:

Suphannika Pornwattanakavee1 Author Orcid Image ;   Nattawut Leelakanok1 Author Orcid Image ;   Teerarat Todsarot1 Author Orcid Image ;   Gabrielle Angele Tatta Guinto1 Author Orcid Image ;   Ratchanon Takun1 Author Orcid Image ;   Assadawut Sumativit1 Author Orcid Image ;   Marisa Senngam1 Author Orcid Image
Article Authors Cited by (4) Tweetations Metrics

Journals

  1. Kawinkoonlasate P. A comparative study of Google Gemini and ChatGPT in enhancing english language learning for EFL learners: A case study of the english research writing course. Pedagogical Research 2025;10(4):em0251 View
  2. Wang R, Li Y, Feng X, Feng X. Performance evaluation of large language models in real-world perinatal medication consultations: a cross-sectional study. International Journal of Clinical Pharmacy 2026;48(4):1573 View
  3. Mason A, Ashmore A. Generative-AI as a source of caregiving guidance for medical tourists: A content and readability analysis. Patient Education and Counseling 2026;149:109630 View
  4. Boonrit N, Bin‐useng N, Sirijariyawat A, Chaithong T, Rattayarungsri S, Yodsri S, Hopkins A, Ruanglertboon W. Large Language Models as Clinical Support Tools in Drug Information Services: Performance Comparison With Pharmacists. JACCP: JOURNAL OF THE AMERICAN COLLEGE OF CLINICAL PHARMACY 2026;9(9) View