Latest AI and machine learning research in myocardial infarction for healthcare professionals.
Artificial neural network (ANN) and its variants are favored algorithm in designing cardiac arrhythm...
In patients with cryptogenic stroke, the detection of atrial fibrillation (AF) is important, since i...
BACKGROUND: The electrocardiogram (ECG) has been widely used in the diagnosis of heart disease such ...
We aimed at reducing alarm fatigue in neonatal intensive care units by developing a model using mach...
Timely prediction of cardiovascular diseases with the help of a computer-aided diagnosis system mini...
INTRODUCTION: The electrocardiogram (ECG) plays an important role in the diagnosis of heart diseases...
BACKGROUND: A deep learning algorithm to detect low ejection fraction (EF) using routine 12-lead ele...
As an interdisciplinary subject of medicine and artificial intelligence, intelligent diagnosis and t...
Motion artifacts and myoelectrical noise are common issues complicating the collection and processin...
We investigated clinical significance of cell-free DNA (cfDNA) in heart failure. This study enrolled...
The ability to identify reliable and sensitive physiological signatures of psychological dimensions ...
In heart failure, invasive angiography is often employed to differentiate ischaemic from non-ischae...
BACKGROUND AND OBJECTIVE: Myocardial infarction (MI) is one of the most threatening cardiovascular d...
Recently, researchers in the area of biosensor based human emotion recognition have used different t...
To reduce the high mortality rate from cardiovascular disease (CVD), the electrocardiogram (ECG) bea...
Detection of the state of mind has increasingly grown into a much favored study in recent years. Aft...
Hypertensive intracerebral hemorrhage is one of the most common cerebrovascular diseases with high...
BACKGROUND: Machine learning (ML) encompasses a wide variety of methods by which artificial intellig...
This paper presents a novel deep learning framework for the inter-patient electrocardiogram (ECG) he...
OBJECTIVE: To evaluate the application of clinical pathway simulation in machine learning, using cli...
BACKGROUND: The ECG remains the most widely used diagnostic test for characterization of cardiac str...