Computerized interpretation of the electrocardiogram (CIE) was introduced to improve the
correct interpretation of the electrocardiogram (ECG), facilitating health care decision …

Background: Regional variations in reperfusion times and mortality in patients with ST-
segment–elevation myocardial infarction are influenced by differences in coordinating care …

Objectives: Timely prehospital diagnosis and treatment of acute coronary syndrome (ACS)
are required to achieve optimal outcomes. Clinical decision support systems (CDSS) are …

ST-segment–elevation myocardial infarction (STEMI) is a high-risk condition in which
survival and other clinical outcomes are significantly impacted by reducing the time from …

(1) Background: Acute pericarditis is often confused with ST-segment elevation myocardial
infarction (STEMI) among patients presenting with acute chest pain in the emergency …

Objective To implement an all-day artificial intelligence (AI)–based system to facilitate chest
pain triage in the emergency department. Methods The AI-based triage system …

Background The 12‑lead ECG plays an important role in triaging patients with symptomatic
coronary artery disease, making automated ECG interpretation statements of “Acute MI” or …

Aims To develop an artificial intelligence-based approach with multi-labelling capability to
identify both ST-elevation myocardial infarction (STEMI) and 12 heart rhythms based on 12 …

Background Early prehospital recognition of critical conditions such as ST‐segment–
elevation myocardial infarction (STEMI) has prognostic relevance. Current international …

Introduction: Rapid prehospital identification of patients with ST-elevation myocardial
infarction (STEMI) is a critical step to reduce time to treatment. Broad screening with field 12 …