Uncovering Language Disparity of ChatGPT on Retinal Vascular Disease Classification: Cross-Sectional Study.

Journal: Journal of medical Internet research
PMID: 38252483

Abstract

BACKGROUND: Benefiting from rich knowledge and the exceptional ability to understand text, large language models like ChatGPT have shown great potential in English clinical environments. However, the performance of ChatGPT in non-English clinical settings, as well as its reasoning, have not been explored in depth.

Authors

  • Xiaocong Liu
    Eye Center, The Second Affiliated Hospital, Zhejiang University, Zhejiang, China.
  • Jiageng Wu
    School of Public Health, Zhejiang University School of Medicine, Zhejiang, China.
  • An Shao
    Department of Ophthalmology, The Second Affiliated Hospital of Zhejiang University, College of Medicine, Hangzhou, 310009, China.
  • Wenyue Shen
    Eye Center, The Second Affiliated Hospital, Zhejiang University, Zhejiang, China.
  • Panpan Ye
    Eye Center, The Second Affiliated Hospital, Zhejiang University, Zhejiang, China.
  • Yao Wang
    Department of Gastrointestinal Surgery, Zhongshan People's Hospital, Zhongshan, Guangdong, China.
  • Juan Ye
    Eye Center, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
  • Kai Jin
    Eye Center, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
  • Jie Yang
    Key Laboratory of Development and Maternal and Child Diseases of Sichuan Province, Department of Pediatrics, Sichuan University, Chengdu, China.

Keywords

External Resources

Popular Topics
Recent Journals