Natural Language AI Models and Pediatric Type 1 Diabetes: Can Chatbots Help With Diabetes Self-Management and Patient Education?
Flavia Voiculescu, Paul Darvasi, Esli Osmanlliu, Preetha Krishnamoorthy, Angeliki Makri

TL;DR
This paper explores how AI chatbots can assist children with type 1 diabetes and their families in managing the condition and learning about it.
Contribution
The paper evaluates the potential and challenges of using chatbots for diabetes self-management and education in pediatric care.
Findings
AI chatbots can support diabetes self-management and education for patients and families.
Front-line providers should promote the responsible use of these tools.
Chatbots offer accessible and evolving support for managing type 1 diabetes.
Abstract
Diabetes self-management plays a major role in controlling blood sugar levels and avoiding chronic complications. In this report, we investigate the strengths and limitations of artificial intelligence chatbots in supporting patients with type 1 diabetes and their families. With the growing accessibility of these constantly evolving tools, front-line providers must advocate for their responsible use.
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsDiabetes Management and Research · Diabetes and associated disorders · Mobile Health and mHealth Applications
