Latest AI and machine learning research in myocardial infarction for healthcare professionals.
BACKGROUND: Electrocardiograms (ECG) are an important source of information on human heart health an...
CASE: A 47-year-old orthopaedic surgeon presented with acute volar left wrist pain. He performed ove...
Sleep apnoea is a common disorder affecting sleep quality by obstructing the respiratory airway. Thi...
Prostate cancer patients often have other health conditions and take anticoagulants. It was believed...
ECG classification or heartbeat classification is an extremely valuable tool in cardiology. Deep lea...
BACKGROUND AND OBJECTIVE: Current automatic electrocardiogram (ECG) diagnostic systems could provide...
Biological age may be a more valuable predictor of morbidity and mortality than a person's chronolog...
Myocardial infarction (MI) is a common cardiovascular disease caused by the blockages of coronary ar...
BACKGROUND: Convolutional neural networks (CNNs) have emerged as a novel method for evaluating heart...
Abnormal cardiac functionality produces irregular heart rhythms which are commonly known as arrhythm...
The efficacy of convolutional neural network (CNN)-enhanced electrocardiography (ECG) in detecting h...
: Patients presenting with ST Elevation Myocardial Infarction (STEMI) due to occlusive coronary arte...
Myocardial scar (MS) and left ventricular ejection fraction (LVEF) are vital cardiovascular paramete...
Umami peptides originating from fermented sea bass impart a distinctive flavor to food. Nevertheless...
Research of novel biosignal modalities with application to remote patient monitoring is a subject of...
Thoracic aorta calcium (TAC) can be assessed from cardiac computed tomography (CT) studies to improv...
BACKGROUND AND PURPOSE: To develop a computed tomography (CT)-based deep learning model to predict o...
BACKGROUND: ECG-gated cardiac CT is now widely used in infants with congenital heart disease (CHD). ...
This study aimed to assess the effects of thienopyridine-class antiplatelet agents (including ticlop...
BACKGROUND: In the field of mobile health, portable dynamic electrocardiogram (ECG) monitoring devic...
Background We aim to determine which electrocardiogram (ECG) data format is optimal for ML modelling...