Latest AI and machine learning research in myocardial infarction for healthcare professionals.
This work presents an energy-efficient ECG processor designed for Cardiac Arrhythmia Classification....
BACKGROUND: The effect of renal impairment in patients who receive intravenous thrombolysis for acut...
Atrial fibrillation (AF) is a complex condition caused by various underlying pathophysiological diso...
BACKGROUND: Atrial Fibrillation (AF) is the most common form of arrhythmia in the world with a preva...
Myocardial infarction (MI) is a life-threatening medical condition that necessitates both timely and...
BACKGROUND: The 12-lead electrocardiogram (ECG) is an established modality for cardiovascular assess...
AIMS: Through a simple machine learning approach, we aimed to assess the risk of all-cause mortality...
Detecting early stages of cardiovascular disease from short-duration Electrocardiogram (ECG) signals...
BACKGROUND: Over the last few decades: heart disease (HD) has emerged as one of the deadliest diseas...
Artificial intelligence-enhanced electrocardiography (AI-ECG) can identify hypertrophic cardiomyopat...
ST elevation myocardial infarction (STEMI), a subtype of acute coronary syndrome, is one of the lead...
The integration of robotic systems in image-guided trans-arterial interventions has revolutionized t...
Rapid diagnosis of acute myocardial infarction (AMI) is crucial for optimal patient management. Accu...
In the era of Industry 4.0, the study of Human-Robot Collaboration (HRC) in advancing modern manufac...
BACKGROUND: Approximately 20Â % of emergency department (ED) visits involve cardiovascular symptoms. ...
BACKGROUND: Subtle, prognostically important ECG features may not be apparent to physicians. In the ...
Inflammatory prognostic index (IPI), has been shown to be related with poor outcomes in cancer pati...
The electrocardiogram (ECG) stands out as one of the most frequently used medical tests, playing a c...
BACKGROUND: Stroke leads to reduced mobility and functional capacity, also negatively affects respir...
Binarized convolutional neural networks (bCNNs) are favored for the design of low-storage, low-power...
Cardiovascular diseases are a cause of death making it crucial to accurately diagnose them. Electroc...