Lack of Methodological Rigor and Limited Coverage of Generative AI in Existing AI Reporting Guidelines: A Scoping Review.

Journal: Journal of clinical epidemiology
Published Date: Jul 18, 2025

Abstract

OBJECTIVES: This study aimed to systematically map the development methods, scope, and limitations of existing artificial intelligence (AI) reporting guidelines in medicine and to explore their applicability to generative AI (GAI) tools, such as large language models (LLMs).

Authors

  • Xufei Luo
    Evidence-based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China.
  • Bingyi Wang
    School of Basic Medical Sciences, Lanzhou University, Lanzhou, China.
  • Qianling Shi
    The First School of Clinical Medicine, Lanzhou University, Lanzhou, Gansu, 730000, China.
  • Zijun Wang
    School of Chemistry and Chemical Engineering, Shihezi University Shihezi Xinjiang 832003 PR China eavanh@163.com lqridge@163.com 1175828694@qq.com 318798309@qq.com wzj_tea@shzu.edu.cn.
  • Honghao Lai
    Department of Health Policy and Health Management, School of Public Health, Lanzhou University, Lanzhou, China.
  • Hui Liu
    Institute of Urology and Nephrology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
  • Yishan Qin
    Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China; Research Unit of Evidence-Based Evaluation and Guidelines, Chinese Academy of Medical Sciences (2021RU017), School of Basic Medical Sciences, Lanzhou University, Lanzhou, China; World Health Organization Collaboration Center for Guideline Implementation and Knowledge Translation, Lanzhou, China; Institute of Health Data Science, Lanzhou University, Lanzhou, China; Key Laboratory of Evidence Based Medicine of Gansu Province, Lanzhou University, Lanzhou, China.
  • Fengxian Chen
    Key Laboratory of Pollution Ecology and Environmental Engineering, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, Liaoning 110016, China.
  • Xuping Song
    Department of Social Medicine and Health Management, Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, China.
  • Long Ge
    Department of Health Policy and Health Management, School of Public Health, Lanzhou University, Lanzhou, China.
  • Lu Zhang
    Department of Computer Science and Engineering, The University of Texas at Arlington, Arlington, TX, United States.
  • Zhaoxiang Bian
    School of Chinese Medicine, Vincent V.C. Woo Chinese Medicine Clinical Research Institute, Hong Kong Baptist University, Hong Kong, China.
  • Yaolong Chen
    Evidence-based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, China.

Keywords

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