Evaluation of accuracy, quality, and readability of information on hypothyroidism provided by different artificial intelligence chatbot models
All three AI chatbots were capable of producing highly accurate and high-quality medical information regarding hypothyroidism, with their responses showing strong consistency with clinical guidelines. This underscores the substantial potential of AI in supporting medical information delivery. However, the consistently high reading difficulty of their outputs may limit their practical utility in patient education. Future research should focus on improving the readability and patient-friendliness of AI outputs-through prompt engineering and multi-round dialogue optimization-while maintaining professional accuracy, to enable broader application of AI in health education.
Authors
- Xingai Ju
- Jianchun Cui (ORCID: https://orcid.org/0000-0001-7432-5260)
- Xinran Shao (ORCID: https://orcid.org/0009-0006-0692-0360)
- Yihan Sun
- Ting Ruan
Institutions
- Liaoning University of Traditional Chinese Medicine (CN)
- First Hospital of China Medical University (CN)
- China Medical University (CN)
Publication Details
- Journal
- Frontiers in Public Health
- Published
- 2025-12-10
- DOI
- https://doi.org/10.3389/fpubh.2025.1698596
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00