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

ChatGPT-4o and Gemini 1.5 Pro could be a valid tool for ED physicians, supporting clinical decision-making without replacing the physician's judgment. Shared protocols for effective collaboration between AI chatbots and healthcare professionals are needed.

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Publication Details

Journal
Frontiers in Digital Health
Published
2025-07-01
DOI
https://doi.org/10.3389/fdgth.2025.1624786
Citations
4
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
2.62
Controls
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article

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

María Josefa Franco, Letizia Bergamasco, Gabriella Olmo, Angelo Giovanni Delmonaco et al.
4 citations
Frontiers in Digital Health
Artificial Intelligence in Healthcare and Education
2.62
article

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

María Josefa Franco, Letizia Bergamasco, Gabriella Olmo, Angelo Giovanni Delmonaco, Claudia Bondone, Emanuele Castagno, Emanuele Pivetta, Francesco Del Monte, Roberta Barolo, Maria Circhetta
article en
4 citations

Abstract

ChatGPT-4o and Gemini 1.5 Pro could be a valid tool for ED physicians, supporting clinical decision-making without replacing the physician's judgment. Shared protocols for effective collaboration between AI chatbots and healthcare professionals are needed.

Frontiers in Digital HealthVol. 7
Politecnico di Torino (IT), Azienda Ospedaliera Citta' della Salute e della Scienza di Torino (IT), Department of Medical Sciences (RU), Ospedale Regina Margherita (IT), LINKS Foundation (IT), University of Turin (IT)
Peace, Justice and strong institutions
Openalex Percentile: Top 9%
Artificial Intelligence in Healthcare and Education
2.62
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Diagnostic efficacy of large language models in the pediatric emergency department: a pilot study — María Josefa Franco, Letizia Bergamasco, et al. · Frontiers in Digital Health (2025) | TGRS Research Map | TGRS