Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/56655, first published .
Quality of Answers of Generative Large Language Models Versus Peer Users for Interpreting Laboratory Test Results for Lay Patients: Evaluation Study

Quality of Answers of Generative Large Language Models Versus Peer Users for Interpreting Laboratory Test Results for Lay Patients: Evaluation Study

Quality of Answers of Generative Large Language Models Versus Peer Users for Interpreting Laboratory Test Results for Lay Patients: Evaluation Study

Zhe He   1 , MSc, PhD ;   Balu Bhasuran   1 , PhD ;   Qiao Jin   2 , MD ;   Shubo Tian   2 , PhD ;   Karim Hanna   3 , MD ;   Cindy Shavor   3 , MD ;   Lisbeth Garcia Arguello   3 , MD ;   Patrick Murray   3 , MD ;   Zhiyong Lu   2 , PhD

1 School of Information, Florida State University, Tallahassee, FL, United States

2 National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, United States

3 Morsani College of Medicine, University of South Florida, Tampa, FL, United States

Corresponding Author:

  • Zhe He, MSc, PhD
  • School of Information
  • Florida State University
  • 142 Collegiate Loop
  • Tallahassee, FL, 32306
  • United States
  • Phone: 1 8506445775
  • Email: zhe@fsu.edu