This paper is in the following e-collection/theme issue:

Digital Health Reviews (1551) Orthopedics (82) Natural Language Processing (809) Computer-Aided Diagnosis (188) Machine Learning (1769) Artificial Intelligence (1773) Generative Language Models Including ChatGPT (521)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/59607, first published .
Examining the Role of Large Language Models in Orthopedics: Systematic Review

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

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

Authors of this article:

Cheng Zhang1, 2, 3 Author Orcid Image ;   Shanshan Liu1, 2, 3 Author Orcid Image ;   Xingyu Zhou4 Author Orcid Image ;   Siyu Zhou1, 2, 3 Author Orcid Image ;   Yinglun Tian1, 2, 3 Author Orcid Image ;   Shenglin Wang1, 2, 3 Author Orcid Image ;   Nanfang Xu1, 2, 3 Author Orcid Image ;   Weishi Li1, 2, 3 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

Journals

  1. Chen X, Xiang J, Lu S, Liu Y, He M, Shi D. Evaluating large language models and agents in healthcare: key challenges in clinical applications. Intelligent Medicine 2025;5(2):151 View
  2. Cornelius J, Knitza J, Hack J, Pavlovic M, Kuhn S. Einsatzmöglichkeiten von Large Language Models in der Unfallchirurgie. Die Unfallchirurgie 2025 View
  3. Misir A, Yuce A. AI in Orthopedic Research: A Comprehensive Review. Journal of Orthopaedic Research 2025 View