Patients with occlusion myocardial infarction (OMI) and no ST-elevation on presenting
electrocardiogram (ECG) are increasing in numbers. These patients have a poor prognosis …

A major focus of academia, industry, and global governmental agencies is to develop and
apply artificial intelligence and other advanced analytical tools to transform health care …

Non-traumatic chest pain is a frequent reason for an urgent ambulance visit of a patient by
the emergency medical services (EMS). Chest pain (or chest pain-equivalent symptoms) can …

Leveraging artificial intelligence (AI) for the analysis of electrocardiograms (ECG) has the
potential to transform diagnosis and estimate the prognosis of not only cardiac but …

The ECG is crucial in the prehospital (and early inhospital) phase of patients with symptoms
suggestive of myocardial ischemia. Therefore, new algorithms for ECG-based myocardial …

At the emergency department (ED), it is important to quickly and accurately determine which
patients are likely to have a major adverse cardiac event (MACE). Machine learning (ML) …

This non-technical review introduces key concepts in personalized ECG monitoring (pECG),
which aims to optimize the detection of clinical events and their warning signs as well as the …

Introduction: Early detection of ST-segment elevation myocardial infarction (STEMI) on the
prehospital electrocardiogram (ECG) improves patient outcomes. Current software …

急性冠脉综合征的病死率较高, 目前诊断仍受检验手段的滞后性, 有创性与高成本的限制.
人工智能目前广泛应用于心血管病领域, 在处理庞大且复杂数据上发挥着独特的优势 …

Patients with occlusion myocardial infarction (OMI) and no ST-elevation on presenting ECG
are increasing in numbers. These patients have a poor prognosis and would benefit from …