Journal article
Large language models for diabetes training: a prospective study
H Li, Z Jiang, Z Guan, Y Bao, Y Liu, T Hu, J Li, R Liu, L Wu, D Cheng, H Ji, Y Wang, YX Wang, CY Cheung, Y Zheng, J Wang, Z Li, W Wu, CC Lim, YM Bee Show all
Science Bulletin | Published : 2025
Open access
Abstract
Diabetes poses a considerable global health challenge, with varying levels of diabetes knowledge among healthcare professionals, highlighting the importance of diabetes training. Large Language Models (LLMs) provide new insights into diabetes training, but their performance in diabetes-related queries remains uncertain, especially outside the English language like Chinese. We first evaluated the performance of ten LLMs: ChatGPT-3.5, ChatGPT-4.0, Google Bard, LlaMA-7B, LlaMA2-7B, Baidu ERNIE Bot, Ali Tongyi Qianwen, MedGPT, HuatuoGPT, and Chinese LlaMA2-7B on diabetes-related queries, based on the Chinese National Certificate Examination for Primary Diabetes Care in China (NCE-CPDC) and the E..
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Awarded by Key Laboratory of Engineering Plastics, Chinese Academy of Sciences