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中国2型糖尿病的人工智能驱动管理:机遇与挑战

AI-Driven Management of Type 2 Diabetes in China: Opportunities and Challenges.

作者信息

He Zhifang, Li Wenyu

机构信息

Shanghai Xuhui Area Government of Community Office of Kangjian Xincun Street, Shanghai, People's Republic of China.

School of Marxism, Capital Normal University, Beijing, People's Republic of China.

出版信息

Diabetes Metab Syndr Obes. 2025 Jan 8;18:85-92. doi: 10.2147/DMSO.S495364. eCollection 2025.

DOI:10.2147/DMSO.S495364
PMID:39802619
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11718508/
Abstract

With the aging of China's population and lifestyle changes, the number of patients with type 2 diabetes (T2D) has surged, posing a significant challenge to the public health system. This study explores the application and effectiveness of artificial intelligence (AI) technology in T2D management from a Chinese perspective. AI demonstrates substantial potential in personalized treatment planning, real-time monitoring and early warning, telemedicine, and health management. It not only enhances the precision and convenience of treatment but also aids in preventing and managing complications. Despite challenges in data privacy, technology popularization, standardization, and regulation, AI technology's continuous maturation and expanded application suggest its increasingly pivotal role in T2D management. In the future, through interdepartmental collaboration, policy support, and cultural adaptation, AI is poised to bring revolutionary changes to diabetes management in China and globally.

摘要

随着中国人口老龄化和生活方式的改变,2型糖尿病(T2D)患者数量激增,给公共卫生系统带来了巨大挑战。本研究从中国视角探讨人工智能(AI)技术在T2D管理中的应用及效果。人工智能在个性化治疗方案制定、实时监测与预警、远程医疗及健康管理方面展现出巨大潜力。它不仅提高了治疗的精准性和便利性,还有助于预防和管理并发症。尽管在数据隐私、技术普及、标准化及监管方面存在挑战,但人工智能技术的不断成熟和应用范围的扩大表明其在T2D管理中发挥着越来越关键的作用。未来,通过跨部门协作、政策支持及文化适应,人工智能有望给中国乃至全球的糖尿病管理带来变革性变化。

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本文引用的文献

1
AI-Based Hematological Age Predictors and the Association Between Biological Age Acceleration and Type 2 Diabetes Mellitus - Chongqing Municipality, China, 2015-2021.基于人工智能的血液学年龄预测指标以及生物学年龄加速与2型糖尿病之间的关联——中国重庆市,2015 - 2021年
China CDC Wkly. 2024 Nov 8;6(45):1188-1193. doi: 10.46234/ccdcw2024.240.
2
The future is here: an overview of technology in diabetes.未来已来:糖尿病领域技术概述
Diabetologia. 2024 Oct;67(10):2019-2026. doi: 10.1007/s00125-024-06235-z.
3
Integrated image-based deep learning and language models for primary diabetes care.基于图像的深度学习和语言模型在初级糖尿病护理中的应用。
Nat Med. 2024 Oct;30(10):2886-2896. doi: 10.1038/s41591-024-03139-8. Epub 2024 Jul 19.
4
Assessing the Utility, Impact, and Adoption Challenges of an Artificial Intelligence-Enabled Prescription Advisory Tool for Type 2 Diabetes Management: Qualitative Study.评估用于2型糖尿病管理的人工智能处方咨询工具的效用、影响及采用挑战:定性研究
JMIR Hum Factors. 2024 Jun 13;11:e50939. doi: 10.2196/50939.
5
The role of automated insulin delivery technology in diabetes.自动胰岛素输送技术在糖尿病中的作用。
Diabetologia. 2024 Oct;67(10):2034-2044. doi: 10.1007/s00125-024-06165-w. Epub 2024 May 13.
6
Optimizing type 2 diabetes management: AI-enhanced time series analysis of continuous glucose monitoring data for personalized dietary intervention.优化2型糖尿病管理:用于个性化饮食干预的连续血糖监测数据的人工智能增强时间序列分析
PeerJ Comput Sci. 2024 Apr 22;10:e1971. doi: 10.7717/peerj-cs.1971. eCollection 2024.
7
Physical Activity Detection for Diabetes Mellitus Patients Using Recurrent Neural Networks.使用递归神经网络对糖尿病患者进行身体活动检测
Sensors (Basel). 2024 Apr 10;24(8):2412. doi: 10.3390/s24082412.
8
Predicting coronary heart disease in Chinese diabetics using machine learning.应用机器学习预测中国糖尿病人群的冠心病风险。
Comput Biol Med. 2024 Feb;169:107952. doi: 10.1016/j.compbiomed.2024.107952. Epub 2024 Jan 5.
9
An AI Dietitian for Type 2 Diabetes Mellitus Management Based on Large Language and Image Recognition Models: Preclinical Concept Validation Study.基于大语言和图像识别模型的 2 型糖尿病管理人工智能营养师:临床前概念验证研究。
J Med Internet Res. 2023 Nov 9;25:e51300. doi: 10.2196/51300.
10
Artificial intelligence in diabetes management: Advancements, opportunities, and challenges.人工智能在糖尿病管理中的应用:进展、机遇与挑战。
Cell Rep Med. 2023 Oct 17;4(10):101213. doi: 10.1016/j.xcrm.2023.101213. Epub 2023 Oct 2.