Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Predicting Occlusion Myocardial Infarctions in the Emergency Department Using Artificial Intelligence
0
Zitationen
8
Autoren
2026
Jahr
Abstract
Our AI model identified OMI in ED patients with chest pain with an AUC of 95%, doubling sensitivity compared with the STEMI criteria at the same specificity. Using the model could reduce time to intervention, as only about 1 in 20 OMI cases currently receive timely angiography.
Ähnliche Arbeiten
2017 ESC Guidelines for the management of acute myocardial infarction in patients presenting with ST-segment elevation
2017 · 9.602 Zit.
ACC/AHA Guidelines for the Management of Patients With ST-Elevation Myocardial Infarction—Executive Summary
2004 · 8.366 Zit.
2015 ESC Guidelines for the management of acute coronary syndromes in patients presenting without persistent ST-segment elevation
2015 · 8.281 Zit.
The Effect of Pravastatin on Coronary Events after Myocardial Infarction in Patients with Average Cholesterol Levels
1996 · 7.478 Zit.
Mortality from Coronary Heart Disease in Subjects with Type 2 Diabetes and in Nondiabetic Subjects with and without Prior Myocardial Infarction
1998 · 7.048 Zit.