Artificial Intelligence-Generated Patient Education Materials for Helicobacter pylori Infection: A Comparative Analysis.

Journal: Helicobacter
PMID:

Abstract

BACKGROUND: Patient education contributes to improve public awareness of Helicobacter pylori. Large language models (LLMs) offer opportunities to revolutionize patient education transformatively. This study aimed to assess the quality of patient educational materials (PEMs) generated by LLMs and compared with physician sourced.

Authors

  • Shuyan Zeng
    Department of Gastroenterology, Qilu Hospital of Shandong University, Jinan, Shandong, China.
  • Qingzhou Kong
    Department of Gastroenterology, Qilu Hospital of Shandong University, Jinan, Shandong, China.
  • Xiaoqi Wu
    Department of Gastroenterology, Qilu Hospital of Shandong University, Jinan, Shandong, China.
  • Tian Ma
    Hunan Province Key Laboratory of Typical Environmental Pollution and Health Hazards, School of Public Health, University of South China, Hengyang 421001, China.
  • Limei Wang
    Institute of Intelligent System and Bioinformatics, College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, China.
  • Leiqi Xu
    Department of Gastroenterology, Qilu Hospital of Shandong University, Jinan, Shandong, China.
  • Guanjun Kou
    Department of Gastroenterology, Qilu Hospital of Shandong University, Jinan, Shandong, China.
  • Mingming Zhang
    Department of Gastroenterology, Qilu Hospital of Shandong University, Jinan, Shandong, China.
  • Xiaoyun Yang
    Division of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Xiuli Zuo
    Department of Gastroenterology, Qilu Hospital of Shandong University, Jinan, Shandong, China.
  • Yueyue Li
    Department of Gastroenterology, Qilu Hospital of Shandong University, Jinan, Shandong, China.
  • Yanqing Li
    Department of Gastroenterology, Qilu Hospital of Shandong University, Jinan, Shandong, China.