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

New Methods (1134) Generative Language Models Including ChatGPT (708) Foundation Models and Their Applications in AI (51) Ethical, Legal, and Social Issues in AI (102) Methods in Human Factors Research (61) Artificial Intelligence (2129)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/71521, first published .
Evaluating ChatGPT in Qualitative Thematic Analysis With Human Researchers in the Japanese Clinical Context and Its Cultural Interpretation Challenges: Comparative Qualitative Study

Evaluating ChatGPT in Qualitative Thematic Analysis With Human Researchers in the Japanese Clinical Context and Its Cultural Interpretation Challenges: Comparative Qualitative Study

Evaluating ChatGPT in Qualitative Thematic Analysis With Human Researchers in the Japanese Clinical Context and Its Cultural Interpretation Challenges: Comparative Qualitative Study

Authors of this article:

Kota Sakaguchi1 Author Orcid Image ;   Reiko Sakama2 Author Orcid Image ;   Takashi Watari3 Author Orcid Image
Article Authors Cited by (1) Tweetations (4) Metrics

Journals

  1. Ng J. Prompt engineering for generative artificial intelligence chatbots in health research: A practical guide for traditional, complementary, and integrative medicine researchers. Integrative Medicine Research 2025;14(4):101222 View