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Updated: Sep 11, 2025

03:14
Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
Published on: December 6, 2024
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Leveraging large language models to inform paediatric chronic condition care: a cross-sectional study
Syed Furrukh Jamil1,2,3, Nada N Alshathri4,2, Seham S Alsalamah4,2
1College of Medicine, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia furrukh.jamil@doctors.org.uk.
BMJ Paediatrics Open
|August 14, 2025
Summary
Large language models like ChatGPT and Google Gemini provide accurate patient education on coeliac disease and type 1 diabetes mellitus. However, their readability needs improvement for better accessibility.
Area of Science:
- Artificial Intelligence in Medicine
- Pediatric Health Education
Background:
- Chronic pediatric conditions like coeliac disease and type 1 diabetes mellitus require accessible patient education.
- Large language models (LLMs) offer potential for scalable health information dissemination.
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