Performance of several large language models when answering common patient questions about type 1 diabetes in children: accuracy, comprehensibility and practicality
This study demonstrated that all evaluated LLMs performed similarly in answering common questions about T1D. LLMs such as ChatGPT-4o and Gemini Advanced can provide above-average, accurate, and patient-friendly answers to common questions about T1D. Although no significant differences were observed, the latest versions of LLMs show promise for integration into healthcare, provided they continue to be evaluated and improved. Further research should focus on developing specialized LLMs tailored for pediatric diabetes care.
Authors
- Meryem Atak (ORCID: https://orcid.org/0000-0002-8387-9959)
- Ayla İrem Aydın (ORCID: https://orcid.org/0000-0002-9402-9861)
- Erdal Eren (ORCID: https://orcid.org/0000-0002-1684-1053)
- Yasemin Denkboy Öngen (ORCID: https://orcid.org/0000-0002-5657-4260)
Institutions
- Bursa Uludağ Üni̇versi̇tesi̇ (TR)
Publication Details
- Journal
- BMC Pediatrics
- Published
- 2025-10-10
- DOI
- https://doi.org/10.1186/s12887-025-05945-6
- Citations
- 1
- Primary Topic
- Diabetes Management and Research
- Type
- article
- Field-Weighted Citation Impact
- 1.29