Comparative Analysis of Large Language Models in First-Aid Scenario Recognition and Management: An In Silico Evaluation of ChatGPT and Claude

Claude 3.5 provided more complete and stable first-aid guidance than GPT-4, although both models reliably identified emergencies and advised on the appropriate escalation of care. Wider implementation warrants larger vignette sets, real-user simulations, and continuous monitoring for guideline concordance.

Authors

Jessica Sims (ORCID: https://orcid.org/0000-0003-4521-3184)
Jeffrey S. Upperman (ORCID: https://orcid.org/0000-0002-8037-6985)
Norvin K West
James A. O’Brien
A. J. Edwards (ORCID: https://orcid.org/0000-0001-7797-6261)

Institutions

Vanderbilt University Medical Center (US)

Publication Details

Journal: Cureus
Published: 2025-10-09
DOI: https://doi.org/10.7759/cureus.94229
Primary Topic: Artificial Intelligence in Healthcare and Education
Type: article
Field-Weighted Citation Impact: 0.00

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article

Comparative Analysis of Large Language Models in First-Aid Scenario Recognition and Management: An In Silico Evaluation of ChatGPT and Claude

Jessica Sims, Jeffrey S. Upperman, Norvin K West, James A. O’Brien et al.

Oct 9, 2025

Cureus

Artificial Intelligence in Healthcare and Education

article

Comparative Analysis of Large Language Models in First-Aid Scenario Recognition and Management: An In Silico Evaluation of ChatGPT and Claude

Jessica Sims, Jeffrey S. Upperman, Norvin K West, James A. O’Brien, A. J. Edwards

October 9, 2025article en

Abstract

Claude 3.5 provided more complete and stable first-aid guidance than GPT-4, although both models reliably identified emergencies and advised on the appropriate escalation of care. Wider implementation warrants larger vignette sets, real-user simulations, and continuous monitoring for guideline concordance.

CureusVol. 17(10)

Vanderbilt University Medical Center (US)

Openalex Percentile: Top 79%

Artificial Intelligence in Healthcare and Education

DOI Open Access PDF OpenAlex

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