This paper is in the following e-collection/theme issue:

Generative Language Models Including ChatGPT (432) Clinical Information and Decision Making (1559) Artificial Intelligence (1619) New Methods (1006) Decision Support for Health Professionals (1293) Machine Learning (1637) Cardiology (182) Chatbots and Conversational Agents (595)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55037, first published .
ChatGPT’s Performance in Cardiac Arrest and Bradycardia Simulations Using the American Heart Association's Advanced Cardiovascular Life Support Guidelines: Exploratory Study

ChatGPT’s Performance in Cardiac Arrest and Bradycardia Simulations Using the American Heart Association's Advanced Cardiovascular Life Support Guidelines: Exploratory Study

ChatGPT’s Performance in Cardiac Arrest and Bradycardia Simulations Using the American Heart Association's Advanced Cardiovascular Life Support Guidelines: Exploratory Study

Authors of this article:

Cecilia Pham1 Author Orcid Image ;   Romi Govender1 Author Orcid Image ;   Salik Tehami1 Author Orcid Image ;   Summer Chavez1, 2, 3 Author Orcid Image ;   Omolola E Adepoju1, 2, 3 Author Orcid Image ;   Winston Liaw1, 2, 3 Author Orcid Image
Article Authors Cited by (4) Tweetations (7) Metrics

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  1. Arefin S, Alluri A, Barua M, Patel T, Kandhalu S. Evaluation of Mortality Rate Disparities for Cardiac Arrest Between Urban and Rural Cohorts in the United States Using the Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research (CDC WONDER) Database. Cureus 2024 View
  2. Leon M, Ruaengsri C, Pelletier G, Bethencourt D, Shibata M, Flores M, Shudo Y. Harnessing the Power of ChatGPT in Cardiovascular Medicine: Innovations, Challenges, and Future Directions. Journal of Clinical Medicine 2024;13(21):6543 View
  3. Zhu S, Hu W, Yang Z, Yan J, Zhang F. Qwen-2.5 Outperforms Other Large Language Models in the Chinese National Nursing Licensing Examination: Retrospective Cross-Sectional Comparative Study. JMIR Medical Informatics 2025;13:e63731 View
  4. Stephan D, Bertsch A, Burwinkel M, Vinayahalingam S, Al-Nawas B, Kämmerer P, Thiem D. AI in Dental Radiology—Improving the Efficiency of Reporting With ChatGPT: Comparative Study. Journal of Medical Internet Research 2024;26:e60684 View