Eligibility for eCPR Warming in Hypothermic Cardiac Arrest: Lack of Guidelines and the Current Constraints of Artificial Intelligence in Clinical Decision-Making.

Journal: Artificial organs
Published Date: Mar 13, 2025

Abstract

AIM OF THE STUDY: Artificial intelligence (AI) such as large language models (LLMs) tools are potential sources of information on hypothermic cardiac arrest (HCA). The aim of our study was to determine whether, for patients with HCA, LLMs provide information consistent with expert consensus on criteria that would usually contraindicate extracorporeal cardiopulmonary resuscitation (eCRP) in patients with normothermic cardiac arrest (NCA), but not HCA.

Authors

  • Michał P Pluta
    Department of Acute Medicine, Medical University of Silesia, Zabrze, Poland.
  • Tomasz Darocha
    Department of Anaesthesiology and Intensive Care, Medical University of Silesia, Katowice, Poland.
  • Michał Pasternak
    Doctoral School, Medical University of Lublin, Poland.
  • Mathieu Pasquier
    Department of Emergency Medicine, Lausanne University Hospital, Lausanne, Switzerland.
  • Konrad Mendrala
    Department of Anaesthesiology and Intensive Care, Medical University of Silesia, Katowice, Poland.
  • Radosław Gocoł
    Department of Cardiac Surgery, Upper-Silesian Heart Center, Katowice, Poland.
  • Sylweriusz Kosiński
    Mountain Medicine Laboratory, Jagiellonian University Medical College, Krakow, Poland.

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