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AI-Powered Diabetes Precision Health: From Data to Action
Jia Nie1,2, Carol Haft1, Ashley Xia1
1Division of Diabetes, Endocrinology, and Metabolic Diseases, the National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD.
NEJM AI
|September 8, 2025
Summary
Artificial intelligence (AI) offers significant potential for advancing Diabetes Precision Health. Experts discussed opportunities and challenges to personalize diabetes care through AI.
Area of Science:
- Endocrinology and Metabolism
- Artificial Intelligence in Healthcare
- Public Health
Background:
- Diabetes is a chronic, prevalent public health challenge requiring personalized management.
- The heterogeneity of diabetes necessitates tailored approaches for prevention, diagnosis, treatment, and prognosis.
Purpose of the Study:
- To describe opportunities and challenges in AI for Diabetes Precision Health.
- To outline strategies for advancing AI in personalized diabetes care.
Main Methods:
- Convened experts from diabetes and AI fields.
- Identified existing gaps and transformative opportunities enabled by AI advancements.
Main Results:
- Artificial intelligence holds considerable potential for Diabetes Precision Health.
- Key themes included the need for greater attention to AI in personalized diabetes care.
Conclusions:
- AI integration is crucial for advancing personalized diabetes management.
- Strategic planning is recommended to overcome challenges and leverage AI opportunities in diabetes care.
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