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.

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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
Controls
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article

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

Zhifang He, Wenyu Li
7 citations
Diabetes Metabolic Syndrome and Obesity
Artificial Intelligence in Healthcare
20.56
article

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

Zhifang He, Wenyu Li
article en
7 citations

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.

Diabetes Metabolic Syndrome and ObesityVol. Volume 18
Beijing Normal University (CN), Shanghai Municipal People's Government (CN), Capital Normal University (CN)
Openalex Percentile: Top 1%
Artificial Intelligence in Healthcare
20.56
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