Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/63188, first published .
Comparing the Accuracy of Two Generated Large Language Models in Identifying Health-Related Rumors or Misconceptions and the Applicability in Health Science Popularization: Proof-of-Concept Study

Comparing the Accuracy of Two Generated Large Language Models in Identifying Health-Related Rumors or Misconceptions and the Applicability in Health Science Popularization: Proof-of-Concept Study

Comparing the Accuracy of Two Generated Large Language Models in Identifying Health-Related Rumors or Misconceptions and the Applicability in Health Science Popularization: Proof-of-Concept Study

Yuan Luo   1 * , RN, MNS, PhD ;   Yiqun Miao   1 * , RN, MNS, PhD ;   Yuhan Zhao   1 * , RN, PhD ;   Jiawei Li   1 , BSc, RN ;   Yuling Chen   2 , RN, PhD ;   Yuexue Yue   1 , RN, PhD ;   Ying Wu   1 , RN, FAAN, PhD

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

2 School of Nursing, Johns Hopkins University, Baltimore, MD, United States

*these authors contributed equally

Corresponding Author:

  • Ying Wu, RN, FAAN, PhD
  • School of Nursing
  • Capital Medical University
  • 10 Xitoutiao, Youanmen Wai, Fengtai District
  • Beijing, 100069
  • China
  • Phone: 86 10839117
  • Email: helenywu@vip.163.com