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Public (e)Health, Digital Epidemiology and Public Health Informatics (2280) Theoretical Frameworks and Concepts (538) Natural Language Processing (1265) Generative Language Models Including ChatGPT (1492) AI in Peer Review and Research Assessment (9)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/91215, first published .
Medical supplies: syringe, vial, stethoscope, and pen on a document.

Advancing Evidence-Based Medicine for Population, Intervention, Comparison, and Outcome Element Recognition and Extraction in Medical Literature: Large Language Model Approach

Advancing Evidence-Based Medicine for Population, Intervention, Comparison, and Outcome Element Recognition and Extraction in Medical Literature: Large Language Model Approach

Authors of this article:

Zeyuan Hao1 Author Orcid Image ;   Yifan Duan2 Author Orcid Image ;   Yu Wang3 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Zeyuan Hao   1 , MEng ;   Yifan Duan   2 , MM ;   Yu Wang   3 , MEng

1 School of Software Engineering, Beijing Jiaotong University, Beijing, China

2 Institute of Medical Information/Medical Library, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China

3 College of Computer and Information Engineering, Nanjing Tech University, Nanjing, China

Corresponding Author:

  • Zeyuan Hao, MEng
  • School of Software Engineering, Beijing Jiaotong University
  • 3 Shangyuan Village, Haidian District
  • Beijing 100044
  • China
  • Phone: 86 18404966218
  • Email: hao.zeyuan@bjtu.edu.cn