Global research trends in AI-assisted blood glucose management: a bibliometric study.

Journal: Frontiers in endocrinology
Published Date: May 28, 2025

Abstract

BACKGROUND: AI-assisted blood glucose management has become a promising method to enhance diabetes care, leveraging technologies like continuous glucose monitoring (CGM) and predictive models. A comprehensive bibliometric analysis is needed to understand the evolving trends in this research area.

Authors

  • Li Yuan
    Research Institute of Natural Gas Technology, Petro China Southwest Oil and Gas Field Company, Chengdu, 610213, China.
  • Yangtian Wang
    Department of Endocrinology, Nanjing University Medical School Affiliated Taikang Xianlin Drum Tower Hospital, Nanjing, China.
  • Meiping Xing
    Department of Endocrinology, Nanjing University Medical School Affiliated Taikang Xianlin Drum Tower Hospital, Nanjing, China.
  • Tao Liu
    Institute of Urology and Nephrology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
  • Dan Xiang
    Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China.

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