AI-Driven Management of Type 2 Diabetes in China: Opportunities and Challenges
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.
Authors
- Zhifang He (ORCID: https://orcid.org/0000-0001-8975-3751)
- Wenyu Li (ORCID: https://orcid.org/0000-0002-8907-7893)
Institutions
- Beijing Normal University (CN)
- Shanghai Municipal People's Government (CN)
- Capital Normal University (CN)
Publication Details
- Journal
- Diabetes Metabolic Syndrome and Obesity
- Published
- 2025-01-01
- DOI
- https://doi.org/10.2147/dmso.s495364
- Citations
- 7
- Primary Topic
- Artificial Intelligence in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 20.56