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.

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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
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article

Evaluation of accuracy, quality, and readability of information on hypothyroidism provided by different artificial intelligence chatbot models

Xingai Ju, Jianchun Cui, Xinran Shao, Yihan Sun et al.
Frontiers in Public Health
Artificial Intelligence in Healthcare and Education
article

Evaluation of accuracy, quality, and readability of information on hypothyroidism provided by different artificial intelligence chatbot models

Xingai Ju, Jianchun Cui, Xinran Shao, Yihan Sun, Ting Ruan
article en

Abstract

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.

Frontiers in Public HealthVol. 13
Liaoning University of Traditional Chinese Medicine (CN), First Hospital of China Medical University (CN), China Medical University (CN)
Openalex Percentile: Top 66%
Artificial Intelligence in Healthcare and Education
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