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

Digital Health Reviews (1747) Artificial Intelligence (2168) Generative Language Models Including ChatGPT (725) Development and Evaluation of Research Methods, Instruments and Tools (759) Applications of AI (295) Foundation Models and Their Applications in AI (51) Responsible Health AI (56)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/80557, first published .
Improving Large Language Model Applications in the Medical and Nursing Domains With Retrieval-Augmented Generation: Scoping Review

Improving Large Language Model Applications in the Medical and Nursing Domains With Retrieval-Augmented Generation: Scoping Review

Improving Large Language Model Applications in the Medical and Nursing Domains With Retrieval-Augmented Generation: Scoping Review

Authors of this article:

Yiqun Miao1 Author Orcid Image ;   Yuhan Zhao1 Author Orcid Image ;   Yuan Luo1 Author Orcid Image ;   Huiying Wang1 Author Orcid Image ;   Ying Wu1, 2 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Yiqun Miao   1 * , DrNP ;   Yuhan Zhao   1 * , DrNP ;   Yuan Luo   1 , DrNP ;   Huiying Wang   1 , DrNP ;   Ying Wu   1, 2 , DrNP

1 School of Nursing, Capital Medical University, Bejing, China

2 The Chinese Institutes for Medical Research, Bejing, China

*these authors contributed equally

Corresponding Author:

  • Ying Wu, DrNP
  • School of Nursing
  • Capital Medical University
  • 10 You-an-men Wai Xi-tou-tiao, Feng-tai District
  • Bejing 100071
  • China
  • Phone: 86 10 8391 17
  • Email: helenywu@vip.163.com