Diagnostic efficacy of large language models in the pediatric emergency department: a pilot study

Diagnostic efficacy of large language models in the pediatric emergency department: a pilot study

BackgroundThe Pediatric Emergency Department (PED) faces significant challenges, such as high patient volumes, time-sensitive decisions, and complex diagnoses. Large Language Models (LLMs) have the potential to enhance patient care; however, their effectiveness in supporting the diagnostic process r...

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Bibliographic Details
Main Authors: Francesco Del Monte, Roberta Barolo, Maria Circhetta, Angelo Giovanni Delmonaco, Emanuele Castagno, Emanuele Pivetta, Letizia Bergamasco, Matteo Franco, Gabriella Olmo, Claudia Bondone
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
Series:Frontiers in Digital Health
Subjects:
artificial intelligence
chatbot
diagnostic accuracy
large language model
pediatric emergency department
Online Access:https://www.frontiersin.org/articles/10.3389/fdgth.2025.1624786/full
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