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

New Methods (1719) Methods in Human Factors Research (102) Artificial Intelligence (4470) Generative Language Models Including ChatGPT (1375) Ethical, Legal, and Social Issues in AI (190) Foundation Models and Their Applications in AI (97) AI for Writing and Research Communication (28)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/71521, first published .
Doctors using futuristic holographic display for patient health data analysis

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 (18) 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
  2. Prahl A. The AI-Reflexivity Checklist (ARC): A Pre-Analysis Pause for LLM-Assisted Coding. Qualitative Health Research 2026;36(2-3):181 View
  3. Marquard J, Martin C, Theesfeld S, Feldmann A, Trofholz A, Wick E, Melton G. Manual vs. AI-Assisted Qualitative Analysis: A Methodological Comparison of Nurse Perspectives on Surgical Recovery. International Journal of Qualitative Methods 2026;25 View
  4. Tuczek M, Degirmenci K, Breitner M, Desouza K, Watson R. Where Automation Meets Augmentation: Balancing the Double-Edged Role of Generative AI in Management Consulting. Business & Information Systems Engineering 2026 View
  5. Masukawa K, Sato Y, Kondo U, Ito S. Identifying the Characteristics of Palliative Care Information on Social Media Using a Qualitative and Sentiment Analysis Approach. American Journal of Hospice and Palliative Medicine® 2026 View
  6. Sawai Y, Tanaka M, Tonsho S, Uno A, Takahashi Y, Kanehara A, Kumakura Y, Yaghishita S, Kasai K, Rao W. Medical challenges and unmet needs of individuals with 22q11.2 deletion syndrome as perceived by caregivers: A thematic analysis and natural language processing-based thematic extraction. PLOS Mental Health 2026;3(4):e0000582 View
  7. Pedro Bittencourt J, Spinola R, Maciel R. Stakeholder Value Criteria for Technical Debt Acquisition Decisions: An Empirical Analysis. ACM Transactions on Software Engineering and Methodology 2026 View
  8. Chong D, Capio C, Jones A, Tse P, Chau S, Eguia K. Student attributes and behavioral examples used by physiotherapy clinical educators in Hong Kong: a qualitative data analysis. Physiotherapy Theory and Practice 2026:1 View
  9. Ng J. A structured framework for effective and responsible generative artificial intelligence chatbot prompt engineering throughout the scientific process: a comprehensive guide for the health and medical researcher. Frontiers in Artificial Intelligence 2026;9 View
  10. Romero Ortuño R, Solis López S, Polidori M, Masud T, Vassallo M, van Iersel M, Macijauskienė J, Topinková E, Nuotio M, Van Bruchem-Visser R, Farré Mercadé M, Barbagallo M. Exploring educational needs on frailty outside geriatrics: a survey of European Union of Medical Specialists’ bodies. European Geriatric Medicine 2026 View
  11. Anito J. Reflexive human–AI collaboration: Tracing the evolving epistemics of qualitative inquiry (2021–2025). Social Sciences & Humanities Open 2026;13:102885 View
  12. Hong M, Yi G. Using ChatGPT for Qualitative Social Media Analysis: Insights for Cross-Cultural Social Work. Journal of the Society for Social Work and Research 2026:000 View
  13. Mahlangu V, Mampane T. An examination of mentoring practices for university lecturers in scholarly writing. International Journal of Research in Business and Social Science (2147- 4478) 2026;15(3):406 View
  14. AlGhamdi R. From Code Variability to Theme Convergence: AI–Human Alignment in Thematic Analysis With Claude Code. International Journal of Qualitative Methods 2026;25 View
  15. Cui Z, Gao E, Yang F, Liu Q, Yao H. Exploring the Effects of an AI Voice Assistant on Drivers’ Loneliness and Affect During Long-Distance Driving Under Partial Driving Automation. International Journal of Human–Computer Interaction 2026:1 View
  16. Kempny C, Frings J, Rust P, Meister S, Fehring L. The use and methodological reporting of large language models in qualitative research: a scoping review. BMC Medical Research Methodology 2026;26(1) View
  17. Umer M, Asif M, Xue S, Jones B, Dennis C, Naeem F, Mulsant B, Husain M. Using ChatGPT for Thematic Analysis of Qualitative Interviews in Psychotherapy Research. Asian Journal of Psychiatry 2026:105071 View

Books/Policy Documents

  1. Fares O. Encyclopedia of Artificial Intelligence in Marketing. View