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

Digital Health Reviews (1724) Generative Language Models Including ChatGPT (708) Chronic Conditions (434) Artificial Intelligence (2129) Foundation Models and Their Applications in AI (51)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/70535, first published .
Unveiling the Potential of Large Language Models in Transforming Chronic Disease Management: Mixed Methods Systematic Review

Unveiling the Potential of Large Language Models in Transforming Chronic Disease Management: Mixed Methods Systematic Review

Unveiling the Potential of Large Language Models in Transforming Chronic Disease Management: Mixed Methods Systematic Review

Authors of this article:

Caixia Li1 Author Orcid Image ;   Yina Zhao1 Author Orcid Image ;   Yang Bai2 Author Orcid Image ;   Baoquan Zhao3 Author Orcid Image ;   Yetunde Oluwafunmilayo Tola4 Author Orcid Image ;   Carmen WH Chan5 Author Orcid Image ;   Meifen Zhang2 Author Orcid Image ;   Xia Fu1 Author Orcid Image
Article Authors Cited by (7) Tweetations Metrics

Caixia Li   1 , PhD ;   Yina Zhao   1 , MM ;   Yang Bai   2 , PhD ;   Baoquan Zhao   3 , PhD ;   Yetunde Oluwafunmilayo Tola   4 , PhD ;   Carmen WH Chan   5 * , PhD ;   Meifen Zhang   2 * , PhD ;   Xia Fu   1 * , MD

1 The Department of Nursing, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China

2 The School of Nursing, Sun Yat-sen University, Guangzhou, China

3 The School of Artificial Intelligence, Sun Yat-sen University, Guangzhou, China

4 The Department of Clinical Research, Conestoga College, Kitchener, ON, Canada

5 The Nethersole School of Nursing, The Chinese University of Hong Kong, Hong Kong, China

*these authors contributed equally

Corresponding Author:

  • Xia Fu, MD
  • The Department of Nursing
  • The Eighth Affiliated Hospital
  • Sun Yat-sen University
  • No. 3025, Shennan Middle Road
  • Room 501, The Administrative Building
  • Shenzhen 518033
  • China
  • Phone: 86 13829706026
  • Email: fuxia5@mail.sysu.edu.cn