Effectiveness and safety of AI-driven closed-loop systems in diabetes management: a systematic review and meta-analysis.

Journal: Diabetology & metabolic syndrome
Published Date:

Abstract

BACKGROUND: Diabetes is a metabolic disease that can lead to severe cardiovascular diseases and neuropathy. The associated medical costs and complications make timely and effective management particularly important. Traditional diagnostic and management methods, like frequent glucose sampling and insulin injections, impose physical injuries on subjects. The development of artificial intelligence (AI) has opened new opportunities for diabetes management.

Authors

  • Xiaoya Wang
    Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China.
  • Jiayuan Si
    Department of Biomedical Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, 999077, P. R. China.
  • Yihao Li
    LaTIM UMR 1101, Inserm, Brest, France; University of Western Brittany, Brest, France.
  • Poki Tse
    Department of Biomedical Sciences, City University of Hong Kong, Kowloon, Hong Kong SAR, 999077, P. R. China.
  • Guoyi Zhang
    Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, USA.
  • Xiaojie Wang
    Beijing University of Posts and Telecommunications, China.
  • Junming Ren
    Department of Neuroscience, City University of Hong Kong, Kowloon, Hong Kong SAR, 999077, P. R. China.
  • Jin Xu
    Key Laboratory of Advanced Theory and Application in Statistics and Data Science-MOE, and School of Statistics, East China Normal University, Shanghai, China.
  • Jiancui Sun
    College of Sports Medicine and Rehabilitation, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an, 271016, P. R. China. jcsun@sdfmu.edu.cn.
  • Xi Yao
    Department of Ophthalmology, Henan Eye Institute, Henan Eye Hospital, Henan Provincial People's Hospital, Zhengzhou, China.

Keywords

No keywords available for this article.