PedMedQA: Comparing Large Language Model Accuracy in Pediatric and Adult Medicine

Nikhil Jaiswal, Yuanchao Ma, Bertrand Lebouché, Dan Poenaru, Esli Osmanlliu · Pediatrics Open Science · 2025

INTRODUCTION. Large language models (LLMs) have the potential to revolutionize healthcare, including aiding in clinical decision-making. However, recent work suggests that LLM performance in pediatric cases may be weaker than adult cases. A key limitation in evaluating these differences is the lack of pediatric-specific benchmarks, making it difficult to systematically assess how well LLMs generalize to pediatric scenarios.

Read the paper · More papers on PaperTik