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Accepted for/Published in: JMIR Diabetes

Date Submitted: May 5, 2025
Open Peer Review Period: May 23, 2025 - Jul 18, 2025
Date Accepted: Sep 3, 2025
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Natural Language AI Models and Pediatric Type 1 Diabetes: Can Chatbots Help With Diabetes Self-Management and Patient Education?

Voiculescu F, Darvasi P, Osmanlliu E, Krishnamoorthy P, Makri A

Natural Language AI Models and Pediatric Type 1 Diabetes: Can Chatbots Help With Diabetes Self-Management and Patient Education?

JMIR Diabetes 2025;10:e76986

DOI: 10.2196/76986

PMID: 41202176

PMCID: 12594437

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

ChatGPT natural language artificial intelligence 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

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.


 Citation

Please cite as:

Voiculescu F, Darvasi P, Osmanlliu E, Krishnamoorthy P, Makri A

Natural Language AI Models and Pediatric Type 1 Diabetes: Can Chatbots Help With Diabetes Self-Management and Patient Education?

JMIR Diabetes 2025;10:e76986

DOI: 10.2196/76986

PMID: 41202176

PMCID: 12594437

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