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Artificial Intelligence in Type 1 Diabetes Management: A Scoping Review of Randomised Controlled Trials.
Yucen Wu1,2, Jun Pang3, Shaoyong Xu2,4
1Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK.
Diabetes, Obesity & Metabolism
|March 19, 2026
Summary
Artificial intelligence (AI) tools for type 1 diabetes management show mixed results in clinical utility and safety. More research is needed, especially in diverse global settings, to confirm their effectiveness.
Area of Science:
- Healthcare technology
- Diabetes management
- Artificial intelligence applications
Background:
- Artificial intelligence (AI) is increasingly integrated into healthcare systems.
- AI-enabled tools are being developed for type 1 diabetes management, focusing on nutrition and insulin decisions.
- The clinical utility and safety of these AI tools in type 1 diabetes require further investigation.
Conclusions:
- Future research should focus on larger, long-term, real-world studies.
- Standardized safety endpoints and patient-centered outcomes are crucial for future evaluations.
- Research should extend to low- and middle-income countries to ensure equitable implementation of AI in diabetes care.
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