Pilot Study of Large Language Models as an Age-Appropriate Explanatory Tool for Chronic Pediatric Conditions

Abstract excerpt

There exists a gap in existing patient education resources for children with chronic conditions. This pilot study assesses large language models’ (LLMs) capacity to deliver developmentally appropriate explanations of chronic conditions to pediatric patients. Two commonly used LLMs generated responses that accurately, appropriately, and effectively communicate complex medical information, making them a potentially...

Topics

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• Child
• Electronic Health Records
• Genomics and Rare Diseases
• Knowledge Bases
• Noonan Syndrome
• Pediatrics
• Phenotype
• Rare Diseases

Identifiers and source

Literature Corpus work

c5becea3-ca32-51e0-badf-c71afb1b3611

DOI

10.1101/2024.08.06.24311544