Artificial intelligence (AI) is increasingly used in electrocardiography (ECG) to assist in
diagnosis, stratification, and management. AI algorithms can help clinicians in the following …

Artificial intelligence (AI) has great potential to improve the field of critical care and enhance
patient outcomes. This paper provides an overview of current and future applications of AI in …

Artificial intelligence (AI) has witnessed rapid advances in the healthcare domain in recent
years, especially in the emergency field, where AI is likely to radically reshape medical …

Prehospital care plays a critical role in improving patient outcomes, particularly in cases of
time-sensitive emergencies such as trauma, cardiac failure, stroke, bleeding, breathing …

Acute myocardial infarction (AMI) is a major cause of morbidity and mortality in the Asia-
Pacific region, and mortality rates differ between countries in the region. Systems of care …

Aims Expert knowledge to correctly interpret electrocardiograms (ECGs) is not always
readily available. An artificial intelligence (AI)-based triage algorithm (DELTAnet), able to …

Artificial intelligence (AI) applied to cardiovascular disease (CVD) is enjoying great success
in the field of scientific research. Electrocardiograms (ECGs) are the cornerstone form of …

In der Notfallmedizin ist die Diagnostik mittels Elektrokardiogramm ein wichtiger Baustein für
die adäquate Versorgung. Auch wenn das Elektrokardiogramm ein bereits lange etabliertes …

Objective: The aim of this study was to summarize the literature on the applications of
machine learning (ML) and their performance in Emergency Medical Services (EMS) …

The rapid advancements in Artificial Intelligence of Things (AIoT) are pivotal for the
healthcare sector, especially as the world approaches an aging society which will be …