Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58041, first published .
Enhancement of the Performance of Large Language Models in Diabetes Education through Retrieval-Augmented Generation: Comparative Study

Enhancement of the Performance of Large Language Models in Diabetes Education through Retrieval-Augmented Generation: Comparative Study

Enhancement of the Performance of Large Language Models in Diabetes Education through Retrieval-Augmented Generation: Comparative Study

Dingqiao Wang   1 , MD, PhD ;   Jiangbo Liang   1 , MD ;   Jinguo Ye   1 , BSc ;   Jingni Li   1 , MD ;   Jingpeng Li   1 , PhD ;   Qikai Zhang   1 , BSc ;   Qiuling Hu   1 , BSc ;   Caineng Pan   1 , BSc ;   Dongliang Wang   1 , MD, PhD ;   Zhong Liu   1 , MD ;   Wen Shi   1 , PhD ;   Danli Shi   2 , MD, PhD ;   Fei Li   1 * , MD, PhD ;   Bo Qu   3 * , MD, PhD ;   Yingfeng Zheng   1 * , MD, PhD

1 State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, GuangZhou, China

2 Research Centre for SHARP Vision, The Hong Kong Polytechnic University, Hong Kong, China

3 Peking University Third Hospital, Beijing, China

*these authors contributed equally

Corresponding Author:

  • Yingfeng Zheng, MD, PhD
  • State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University
  • Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science
  • Guangdong Provincial Clinical Research Center for Ocular Diseases
  • State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center
  • Sun Yat-sen University, 07 Jinsui Road
  • GuangZhou, 510060
  • China
  • Phone: 86 139 2228 6455
  • Email: zhyfeng@mail.sysu.edu.cn