Comparison of Japanese Mpox (Monkeypox) Health Education Materials and Texts Created by Artificial Intelligence: Cross-Sectional Quantitative Content Analysis Study
AI-generated texts were easier to understand and read than traditional web-based materials. However, web-based texts provided more visual aids and practical guidance. Combining AI-generated texts with traditional web-based materials may enhance the effectiveness of health education materials and improve accessibility to a broader audience. Further research is needed to explore the integration of AI-generated content into public health communication strategies and policies to optimize information delivery during health crises such as the mpox outbreak.
Authors
- Emi Furukawa (ORCID: https://orcid.org/0000-0002-1431-4786)
- Hiroko Okada (ORCID: https://orcid.org/0000-0001-7877-9753)
- Tsuyoshi Okuhara (ORCID: https://orcid.org/0000-0002-6251-3587)
- Takahiro Kiuchi (ORCID: https://orcid.org/0000-0001-5934-0681)
- Shinya Ito (ORCID: https://orcid.org/0000-0001-8544-4871)
Institutions
- University of Tokyo Hospital (JP)
- University of Tokyo Health Sciences (JP)
- Kitasato University (JP)
Publication Details
- Journal
- JMIR AI
- Published
- 2025-10-17
- DOI
- https://doi.org/10.2196/70604
- Citations
- 1
- Primary Topic
- Misinformation and Its Impacts
- Type
- article
- Field-Weighted Citation Impact
- 4.20