Evaluating ChatGPT in Qualitative Thematic Analysis With Human Researchers in the Japanese Clinical Context and Its Cultural Interpretation Challenges: Comparative Qualitative Study
ChatGPT-4 demonstrates potential as an auxiliary tool in qualitative research, particularly for efficiently identifying descriptive themes within Japanese-language datasets. However, its limited capacity to interpret cultural and emotional nuances highlights the continued necessity of human expertise in qualitative analysis. These findings emphasize the complementary role of AI-assisted qualitative research and underscore the importance of further advancements in AI models tailored to non-English linguistic and cultural contexts. Future research should explore strategies to enhance AI's interpretability, expand multilingual training datasets, and assess the applicability of emerging AI models in diverse cultural settings. In addition, ethical and legal considerations in AI-driven qualitative analysis require continued scrutiny.
Authors
- Takashi Watari (ORCID: https://orcid.org/0000-0002-9322-8455)
- Kota Sakaguchi (ORCID: https://orcid.org/0000-0002-5169-6613)
- Reiko Sakama
Institutions
- NTT Medical Center (JP)
- Shimane University Hospital (JP)
- Kyoto University Hospital (JP)
Publication Details
- Journal
- Journal of Medical Internet Research
- Published
- 2025-04-24
- DOI
- https://doi.org/10.2196/71521
- Citations
- 12
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 7.85