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

Generative Language Models Including ChatGPT (708) AI Language Models in Health Care (202) Artificial Intelligence, Machine Learning, and Natural Language Processing for Public Health (87) Machine Learning (2076)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/70080, first published .
Large Language Model Synergy for Ensemble Learning in Medical Question Answering: Design and Evaluation Study

Large Language Model Synergy for Ensemble Learning in Medical Question Answering: Design and Evaluation Study

Large Language Model Synergy for Ensemble Learning in Medical Question Answering: Design and Evaluation Study

Authors of this article:

Han Yang1 Author Orcid Image ;   Mingchen Li2 Author Orcid Image ;   Huixue Zhou1 Author Orcid Image ;   Yongkang Xiao1 Author Orcid Image ;   Qian Fang3 Author Orcid Image ;   Shuang Zhou2 Author Orcid Image ;   Rui Zhang2 Author Orcid Image
Article Authors Cited by (5) Tweetations (2) Metrics

Han Yang   1 , BSc, MSE ;   Mingchen Li   2 , MS ;   Huixue Zhou   1 , BMed, MBBS ;   Yongkang Xiao   1 , MS ;   Qian Fang   3 , MS ;   Shuang Zhou   2 , PhD ;   Rui Zhang   2 , PhD

1 Institute for Health Informatics, University of Minnesota, Minneapolis, MN, United States

2 Division of Computational Health Sciences, Department of Surgery, University of Minnesota, Minneapolis, MN, United States

3 School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA, United States

Corresponding Author:

  • Rui Zhang, PhD
  • Division of Computational Health Sciences, Department of Surgery
  • University of Minnesota
  • 308 Harvard Street SE
  • Minneapolis, MN 55455
  • United States
  • Phone: 1 612-626-8654
  • Email: ruizhang@umn.edu