Artificial intelligence versus human expertise: ECG-based detection of occlusive myocardial infarction after cardiac arrest
QoH, despite operating without awareness of the CA-setting and thus likely at a relative disadvantage, and HE showed robust diagnostic accuracy. Due to undifferentiated overdiagnosis, general LLMs remain unsuitable for ECG interpretation. Domain-specific tools like QoH may offer complementary value.
Authors
- Joerg Kellermair (ORCID: https://orcid.org/0000-0001-6992-4509)
- Alexander Nahler
- Julian Maier (ORCID: https://orcid.org/0000-0001-6016-1947)
- Alexander Fellner
- Hermann Blessberger (ORCID: https://orcid.org/0000-0003-1943-0927)
- Clemens Steinwender (ORCID: https://orcid.org/0000-0002-4963-5563)
- Johannes Eder
- Thomas Lambert
- Claudio Silwanis
- Max Groche
- Maximilian Huss
- Anna Neunteufel
Institutions
- Johannes Kepler University of Linz (AT)
- Kepler Universitätsklinikum (AT)
Publication Details
- Journal
- Resuscitation
- Published
- 2025-11-20
- DOI
- https://doi.org/10.1016/j.resuscitation.2025.110905
- Citations
- 3
- Primary Topic
- ECG Monitoring and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 4.16