Accessibility settings

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

Natural Language Processing (954) Artificial Intelligence (2347) Applications of AI (344) Generative Language Models Including ChatGPT (811) AI Language Models in Health Care (248) Pediatric ICU (PICU) (23) Medical Device Adverse Events, Errors, Safety (24)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/83745, first published .
Analysis Model for Infant Incubator Adverse Events Using Retrieval-Augmented Generation Combined With Dual-Adapter Fine-Tuning: Development and Evaluation Study

Analysis Model for Infant Incubator Adverse Events Using Retrieval-Augmented Generation Combined With Dual-Adapter Fine-Tuning: Development and Evaluation Study

Analysis Model for Infant Incubator Adverse Events Using Retrieval-Augmented Generation Combined With Dual-Adapter Fine-Tuning: Development and Evaluation Study

Authors of this article:

Wenke Xia1 Author Orcid Image ;   Wanting Zhu1 Author Orcid Image ;   Tianchun Li1 Author Orcid Image ;   Li Wang2 Author Orcid Image ;   Weiqi Li1 Author Orcid Image ;   Peiming Zhang1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Wenke Xia   1 , MEng ;   Wanting Zhu   1 , MEng ;   Tianchun Li   1 , MEng ;   Li Wang   2 , MSc ;   Weiqi Li   1 , PhD ;   Peiming Zhang   1 , PhD

1 School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China

2 Center for Drug Reevaluation of Henan, Zhengzhou, China

Corresponding Author:

  • Peiming Zhang, PhD
  • School of Health Science and Engineering
  • University of Shanghai for Science and Technology
  • Number 516, Jungong Road
  • Yangpu District
  • Shanghai 200093
  • China
  • Phone: 86 13524693176
  • Email: zpmking@163.com