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Article detail · 2025 · article

Assessing the Competence of the ChatGPT-3.5 Artificial Intelligence System in Executing the ACLS Protocol of the AHA 2020

Journal Haydarpasa Numune Training and Research Hospital Medical Journal
ISSN2687-346X
YÖKSİS OpenAlex Open access · diamond
Year2025
Citations1OpenAlex
Citations1Semantic Scholar · 1 influential
Percentile%59.4
FWCI0.291.00 = world average

Data source split

  • YÖKSİSYÖKSİS article record
  • YÖKSİS venueHaydarpasa Numune Training and Research Hospital Medical Journal
  • OpenAlexOpenAlex enrichment (abstract, citations, topics)
  • Semantic Scholarcitation count (not merged with OpenAlex)

Abstract

OpenAlex English

Introduction: Artificial intelligence (AI) has become the focus of recent studies, particularly due to its potential to reduce human labor and time loss.The most significant contribution of AI applications in the medical field is expected to be enhancing clinicians' efficiency, reducing costs, and improving public health.This study aims to assess the proficiency of ChatGPT-3.5,one of the most advanced AI applications available today, in its knowledge of current information based on the American Heart Association (AHA) 2020 guidelines.Methods: An 80-question quiz in a question-and-answer format, covering the current AHA 2020 application steps, was prepared and administered to ChatGPT-3.5 in both English (ChatGPT-3.5 English) and Turkish (ChatGPT-3.5 Turkish).The questions were originally prepared in Turkish for emergency medicine specialists.Results: We found a similar success rate of over 80% in all questions posed to ChatGPT-3.5 and two independent emergency medicine specialists with at least five years of experience who did not know each other.ChatGPT-3.5 achieved a 100% success rate in all questions related to the General Overview of the Current AHA Guidelines, Airway Management, and Ventilation chapters in English.Discussion and Conclusion: Our study indicates that ChatGPT-3.5 provides responses that are as accurate and up-to-date as those given by experienced emergency specialists regarding the AHA 2020 Advanced Cardiac Life Support Guidelines.With future updated versions of ChatGPT, instant access to accurate and current information based on textbooks and guidelines will be increasingly feasible.

Topics

Citations

OpenAlex cited_by_count. Not a WoS or Scopus citation count; those sources have no separate column here.

1citationsOpenAlex · cited_by_count (cache / database)

2 publications in the local catalog that cite this work (OpenAlex reference match; not the full global list).

  1. 2026 Rutin attenuates Tramadol-induced lung injury in rats by modulating oxidative stress, inflammation, endoplasmic reticulum stress, and apoptosisCitations 0 · OpenAlex
  2. 2026 Differential performance of large language models in advanced cardiac life support assessment: A comprehensive multi-dimensional analysis of accuracy, consistency, and visual recognition capabilitiesCitations 0 · OpenAlex

Authors

6
  1. İBRAHİM ALTUNDAĞ 1
  2. SİNEM DOĞRUYOL 2
  3. BURCU GENÇ YAVUZ 3
  4. KAAN YUSUFOĞLU 4
  5. MUSTAFA AHMET AFACAN İSTANBUL MEDENİYET ÜNİVERSİTESİ 5
  6. ŞAHİN ÇOLAK 6