Progress and Trend of the Application of Artificial Intelligence in the Basic Health Management of Type 2 Diabetes

Corresponding author: zhang shengfa, Zhangshengfa@pumc.edu.cn

DOI: 10.12201/bmr.202506.00072

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  Abstract: Purpose/SignificanceThe health management of type 2 diabetes is a key and challenging aspect of the national basic public health service projects. The application of artificial intelligence (AI) technology in grassroots type 2 diabetes health management can help improve the health management level of type 2 diabetes in grassroots medical and health institutions.Methods/ProcessThis study is based on the systematic application cases of AI technology in type 2 diabetes health management. It summarizes the actual application of AI technology in grassroots medical and health institutions and explores the challenges and trends of AI technology in grassroots type 2 diabetes health management.Results/ConclusionThe results show that AI technology has great potential and value in the risk prediction of type 2 diabetes, blood glucose monitoring, drug treatment, diet and exercise intervention, and health education. Some grassroots medical institutions have explored the use of AI technology for type 2 diabetes health management. However, the application of AI technology in grassroots type 2 diabetes management still faces challenges such as poor data quality, high privacy risks, a shortage of interdisciplinary talents, and low patient acceptance. To address these challenges, suggestions are put forward to improve data quality, ensure data security, strengthen talent training, and build patient trust, in order to promote the application of AI technology in grassroots type 2 diabetes health management.

  Key words: Type 2 diabetes；Health management；Basic public health；Artificial intelligence；Machine learning

  Submit time: 24 June 2025

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
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