Latest AI and machine learning research in myocardial infarction for healthcare professionals.
. This paper addresses performing inverse radon transform (IRT) with artificial neural network (ANN)...
Hyperuricemia is a serious health problem related to not only gout but also cardiovascular diseases...
Cardiovascular diseases, often asymptomatic until severe, pose a significant challenge in medical di...
Contrast-induced acute kidney injury (CI-AKI) after percutaneous coronary intervention (PCI) is the ...
BACKGROUND: Heart failure is a syndrome with complex clinical manifestations. Due to increasing popu...
This paper reviews the literature on assessing electrical dyssynchrony for patient selection in card...
Atrial fibrillation (AF) is the most common arrhythmia, associated with significant burdens to pati...
Cardiovascular disease mortality is increasing in North Carolina with persistent inequality by race,...
ECG beat classification or arrhythmia detection through artificial intelligence (AI) is an active to...
This paper proposes a denoising method based on an adversarial deep learning approach for the post-p...
Electrocardiogram (ECG) are the physiological signals and a standard test to measure the heart's ele...
The current recommendation for bioprosthetic valve replacement in severe aortic stenosis (AS) is eit...
Transdermal drug delivery systems offer several advantages over conventional oral or hypodermic admi...
AIM: This study aimed to study contrast-induced nephropathy (CIN) or more recent nomenclature contra...
BACKGROUND: Multiple smart devices capable of automatically detecting atrial fibrillation (AF) based...
Background Elevated serum uric acid, associated with cardiovascular conditions such as atherosclerot...
The 12-lead electrocardiogram (ECG) is the most common front-line diagnosis tool for assessing cardi...
BACKGROUND: The electrocardiogram (ECG) is one of the most accessible and comprehensive diagnostic t...
BACKGROUND: Deep learning models may combat widening racial disparities in heart failure outcomes th...
BACKGROUND: Haemorrhage transformation (HT) is a serious complication of intravenous thrombolysis (I...
Monitoring heart electrical activity is an effective way of detecting existing and developing condit...