Authoritative Textbook-Augmented Large Language Models for High-Altitude Public Health Medical Education in the Xizang Autonomous Region: Cross-Sectional Comparative Evaluation Study

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High-altitude public health medical education is crucial for addressing health challenges in the Xizang Autonomous Region.
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Existing educational resources in high-altitude medicine are limited, impacting training for healthcare professionals.
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Large language models (LLMs) have potential in medical education, but their application in high-altitude settings is underexplored.
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Retrieval-augmented generation (RAG) can enhance LLMs by integrating authoritative sources for improved educational outcomes.
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A study evaluated LLM performance in high-altitude health education, focusing on developing a RAG architecture for better results.

Journal Of Medical Internet Research (Jmir)

by Kun He, Qiming Xiao, Wangyang Chen, Lisha Jing, Yabing Wang, Shuai Li, Daiyu Yang, Hemiao Xu, Ke Pang, Ruoyu Xiao, Zhashilamu Liu, Deji Zhuoga, Ruxuan Chen, Jingyi Li, Long Chang, Yangzhong Zhou, Zhe Zhang, Ran Li, Lujing Ying, Rutong Li, Hongwei Wang, Xin Yin, Ge Zhen, Siyi Cai, Qijun Shan, Qiang Wang, Danzeng Zhuoga, Ciren Yangjin, Gesang Luobu, Tu Ji, Dong Wu
June 16, 2026

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