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

Artificial Intelligence (AI) in Medical Education (66) Chatbots and Conversational Agents (502) Generative Language Models Including ChatGPT (255) New Methods (929) General Articles on Rehabilitation and Assistive Technologies (3) Innovations and Technology for Physical Activity Education (723) Interprofessional Education and Team Care (3) New Methods and Approaches in Medical Education (212)

Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/51157, first published .
Assessing ChatGPT’s Competency in Addressing Interdisciplinary Inquiries on Chatbot Uses in Sports Rehabilitation: Simulation Study

Assessing ChatGPT’s Competency in Addressing Interdisciplinary Inquiries on Chatbot Uses in Sports Rehabilitation: Simulation Study

Assessing ChatGPT’s Competency in Addressing Interdisciplinary Inquiries on Chatbot Uses in Sports Rehabilitation: Simulation Study

Authors of this article:

Joseph C McBee1, 2 Author Orcid Image ;   Daniel Y Han1 Author Orcid Image ;   Li Liu3, 4 Author Orcid Image ;   Leah Ma5 Author Orcid Image ;   Donald A Adjeroh6 Author Orcid Image ;   Dong Xu7 Author Orcid Image ;   Gangqing Hu1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Joseph C McBee   1, 2 ;   Daniel Y Han   1 ;   Li Liu   3, 4 , MD, PhD ;   Leah Ma   5 , MSc ;   Donald A Adjeroh   6 , PhD ;   Dong Xu   7 , PhD ;   Gangqing Hu   1 , PhD

1 Department of Microbiology, Immunology, & Cell Biology, West Virginia University, Morgantown, WV, United States

2 Department of Chemical and Biomedical Engineering, West Virginia University, Morgantown, WV, United States

3 College of Health Solutions, Arizona State University, Phoenix, AZ, United States

4 Biodesign Institute, Arizona State University, Tempe, AZ, United States

5 College of Health, Education, and Human Services, Wright State University, Dayton, OH, United States

6 Lane Department of Computer Science & Electrical Engineering, West Virginia University, Morgantown, WV, United States

7 Department of Electrical Engineering and Computer Science, Christopher S. Bond Life Sciences Center, University of Missouri, Columbia, MO, United States

Corresponding Author:

  • Gangqing Hu, PhD
  • Department of Microbiology, Immunology, & Cell Biology
  • West Virginia University
  • 64 Medical Center Drive
  • Morgantown, WV, 26506-9177
  • United States
  • Phone: 1 304-581-1692
  • Fax: 1 304-293-7823
  • Email: gh00001@mix.wvu.edu