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Natural Language AI Models and Pediatric Type 1 Diabetes: Can Chatbots Help With Diabetes Self-Management and Patient
Flavia Voiculescu1, Paul Darvasi2, Esli Osmanlliu1,3
1Centre for Outcomes Research and Evaluation (CORE), Research Institute of the McGill University Health Center, Montreal, QC, Canada.
JMIR Diabetes
|November 7, 2025
Summary
Artificial intelligence (AI) chatbots can aid diabetes self-management for type 1 diabetes patients. This report examines AI chatbot benefits and drawbacks, urging responsible use by healthcare providers.
Area of Science:
- Endocrinology
- Digital Health
- Artificial Intelligence
Background:
- Effective diabetes self-management is crucial for blood glucose control and preventing long-term complications in type 1 diabetes.
- The increasing integration of digital health tools offers new avenues for patient support.
Purpose of the Study:
- To evaluate the strengths and limitations of artificial intelligence chatbots in supporting type 1 diabetes management.
- To inform healthcare providers about the potential and challenges of using AI chatbots in patient care.
Main Methods:
- Review of current literature and available AI chatbot functionalities for diabetes self-management.
- Analysis of reported benefits, challenges, and user experiences with AI chatbots in type 1 diabetes.
Main Results:
- AI chatbots show potential in providing accessible, on-demand support for patients and families.
- Limitations include data privacy concerns, accuracy of information, and the need for human oversight.
Conclusions:
- AI chatbots offer a promising adjunct to traditional diabetes care, enhancing self-management capabilities.
- Responsible integration and ongoing evaluation are necessary to maximize benefits and mitigate risks associated with AI in type 1 diabetes care.
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