ChatGPT and pediatric advanced life support: A performance evaluation

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Tarih

2024

Dergi Başlığı

Dergi ISSN

Cilt Başlığı

Yayıncı

Elsevier Ireland Ltd

Erişim Hakkı

info:eu-repo/semantics/embargoedAccess

Özet

The development of artificial intelligence (AI) tools, such as large language models (LLMs), holds significant promise for enhancing patient care and medical education. ChatGPT (Chat Generative Pre-trained Transformer), an LLM developed by OpenAI utilizing the GPT-4 architecture, currently demonstrates the highest level of medical domain knowledge among its peers.1 While ChatGPT’s performance has been assessed in various medical examinations,2,3 its capabilities in pediatric resuscitation and advanced life support remain unexplored. This study aimed to evaluate the clinical reasoning ability of ChatGPT by testing its performance on the American Heart Association (AHA) Pediatric Advanced Life Support (PALS) exam.

Açıklama

Anahtar Kelimeler

ChatGPT, Pediatric Advance

Kaynak

Resuscitation

WoS Q Değeri

Scopus Q Değeri

Q1

Cilt

205

Sayı

Künye