Eligibility for <scp>eCPR</scp> Warming in Hypothermic Cardiac Arrest: Lack of Guidelines and the Current Constraints of Artificial Intelligence in Clinical Decision‐Making
Use of artificial intelligence in decision-making for extracorporeal cardiopulmonary resuscitation in patients with hypothermic cardiac arrest risks unjustifiably withdrawing treatment from patients who have a chance of survival with a good neurological outcome. Large language models should not be used as the only tool for decision-making.
Authors
- Sylweriusz Kosiński (ORCID: https://orcid.org/0000-0002-6680-4525)
- Tomasz Darocha (ORCID: https://orcid.org/0000-0001-5889-3209)
- Radosław Gocoł (ORCID: https://orcid.org/0000-0002-2097-1918)
- Konrad Mendrala (ORCID: https://orcid.org/0000-0002-9019-0420)
- Michał P. Pluta (ORCID: https://orcid.org/0000-0002-4027-0019)
- Mathieu Pasquier (ORCID: https://orcid.org/0000-0003-0042-5909)
- Michał Pasternak
Institutions
- Medical University of Lublin (PL)
- Jagiellonian University (PL)
- Medical University of Silesia (PL)
- Silesian Center for Heart Disease (PL)
- University of Lausanne (CH)
Publication Details
- Journal
- Artificial Organs
- Published
- 2025-03-13
- DOI
- https://doi.org/10.1111/aor.14993
- Primary Topic
- Cardiac Arrest and Resuscitation
- Type
- article
- Field-Weighted Citation Impact
- 0.00