AI-Driven Management of Type 2 Diabetes in China: Opportunities and Challenges
Zhifang He,1 Wenyu Li2 1Shanghai Xuhui Area Government of Community Office of Kangjian Xincun Street, Shanghai, People’s Republic of China; 2School of Marxism, Capital Normal University, Beijing, People’s Republic of ChinaCorrespondence: Wenyu Li, Email 13241466866@163.comAbstrac...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Dove Medical Press
2025-01-01
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| Series: | Diabetes, Metabolic Syndrome and Obesity |
| Subjects: | |
| Online Access: | https://www.dovepress.com/ai-driven-management-of-type-2-diabetes-in-china-opportunities-and-cha-peer-reviewed-fulltext-article-DMSO |
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| Summary: | Zhifang He,1 Wenyu Li2 1Shanghai Xuhui Area Government of Community Office of Kangjian Xincun Street, Shanghai, People’s Republic of China; 2School of Marxism, Capital Normal University, Beijing, People’s Republic of ChinaCorrespondence: Wenyu Li, Email 13241466866@163.comAbstract: 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.Keywords: artificial intelligence, type 2 diabetes, diabetes management, personalized treatment, telemedicine, data privacy and security |
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| ISSN: | 1178-7007 |