Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz
Gewählte Publikation:
Barnaba, M.
Identification of Acute Coronary Occlusion Using Artificial Intelligence in NSTEMI Patients
Humanmedizin; [ Diplomarbeit ] Medizinische Universität Graz; 2025. pp.
- Autor*innen der Med Uni Graz:
- Betreuer*innen:
- Toth-Gayor Gabor
- Wallner Markus
- Altmetrics:
- Abstract:
- Objectives: The current STEMI criteria differentiate between ST-segment elevation myocardial infarction (STEMI), which usually leads to immediate invasive coronary angiography (ICA), and non-ST-segment elevation myocardial infarction (NSTEMI), in which invasive diagnosis may be performed after a variable time depending on the patients risk classification. However, several studies have demonstrated that up to 25–30% of all NSTEMI patients have a total occlusion of a coronary artery and would therefore potentially benefit from immediate revascularization. The aim of this study was to assess the diagnostic performance of Powerful Medical’s artificial intelligence (AI)-powered ECG model in detecting occlusion myocardial infarction (OMI) in NSTEMI patients.