Examining the Role of Large Language Models in Orthopedics: Systematic Review.

Journal: Journal of medical Internet research
Published Date: Nov 15, 2024

Abstract

BACKGROUND: Large language models (LLMs) can understand natural language and generate corresponding text, images, and even videos based on prompts, which holds great potential in medical scenarios. Orthopedics is a significant branch of medicine, and orthopedic diseases contribute to a significant socioeconomic burden, which could be alleviated by the application of LLMs. Several pioneers in orthopedics have conducted research on LLMs across various subspecialties to explore their performance in addressing different issues. However, there are currently few reviews and summaries of these studies, and a systematic summary of existing research is absent.

Authors

  • Cheng Zhang
    College of Forestry, Jiangxi Agricultural University, Nanchang, Jiangxi Province, China.
  • Shanshan Liu
    Department of Orthopaedics, Peking University Third Hospital, Beijing, China.
  • Xingyu Zhou
    Peking University Health Science Center, Beijing, China.
  • Siyu Zhou
    Department of Orthopaedics, Peking University Third Hospital, Beijing, China.
  • Yinglun Tian
    Department of Orthopaedics, Peking University Third Hospital, Beijing, China.
  • Shenglin Wang
    Department of Orthopaedics, Peking University Third Hospital, Beijing, China.
  • Nanfang Xu
    Department of Orthopaedics, Peking University Third Hospital, Beijing, China.
  • Weishi Li
    Department of Orthopaedics, Peking University Third Hospital, Beijing, China.

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