Latest AI and machine learning research in myocardial infarction for healthcare professionals.
The diagnosis of electrocardiogram (ECG) is extremely onerous and inefficient, so it is necessary to...
BACKGROUND: Brugada syndrome is a major cause of sudden cardiac death in young people and has distin...
Most existing Electrocardiogram (ECG) classification methods assume that all arrhythmia classes are ...
The aim of this study is to develop an automated deep-learning-based whole heart segmentation of ECG...
The electrocardiogram (ECG) is the most commonly used exam for the evaluation of cardiovascular dise...
BACKGROUND: There is no established screening approach for hypertrophic cardiomyopathy (HCM). We rec...
One of the most powerful techniques to diagnose cardiovascular diseases is to analyze the electrocar...
Automated interpretation of the 12-lead ECG has remained an underpinning interest in decades of rese...
Sleep Apnea is a breathing disorder occurring during sleep. Older people suffer most from this disea...
Mechanical thrombectomy (MTB) is one of the two standard treatment options for Acute Ischemic Stroke...
Stress appears as a response for a broad variety of physiological stimuli. It does vary among indivi...
BACKGROUND: Conventional risk score for predicting short and long-term mortality following an ST-seg...
Atrial fibrillation (AF) is the most common cardiovascular disease (CVD), and most existing algorith...
For the clinical assessment of cardiac vitality, time-continuous tomographic imaging of the heart is...
Undiagnosed dilated cardiomyopathy (DC) can be asymptomatic or present as sudden cardiac death, ther...
Affective computing is a field of study that integrates human affects and emotions with artificial i...
OBJECTIVES: Embolic strokes of unknown source (ESUS) are common and often suspected to be caused by ...
As a widely used vital sign within cardiology, Electrocardiography (ECG) provides the basis for asse...
Background and objectiveDetecting abnormal patterns within an electrocardiogram (ECG) is crucial for...
Magnetoencephalography (MEG) is a functional neuroimaging tool that records the magnetic fields indu...
Background and Objective Electrocardiogram (ECG) quality assessment is significant for automatic dia...