Latest AI and machine learning research in atherosclerosis for healthcare professionals.
BACKGROUND AND OBJECTIVE: Coronary artery disease, which is mostly caused by atherosclerotic narrowi...
Short chain fatty acids (SCFA) are the main products of indigestible carbohydrates undergoing bacter...
The objective of the study was to evaluate the risk of bleeding complications in patients undergoing...
Retinal blood vessels provide information on the risk of cardiovascular disease (CVD). Here, we repo...
We performed RNA-seq and high-resolution mass spectrometry on 128 blood samples from COVID-19-positi...
AIM: The clinically meaningful coronary stenosis is diagnosed by trained interventional cardiologist...
BACKGROUND: Low-density lipoprotein cholesterol (LDL-C) is a target for cardiovascular prevention. C...
OBJECTIVES: Moyamoya disease is a unique cerebrovascular disorder that is characterized by chronic b...
BACKGROUND: Abdominal aortic atherosclerotic plaque burden may have clinical significance but manual...
There have been many recently published studies exploring machine learning (ML) and deep learning ap...
Heartbeat detection is a crucial step in several clinical fields. Laser Doppler Vibrometer (LDV) is...
In the present study, the protective effects of myricitrin against vascular endothelial growth facto...
Constitutive modeling is a cornerstone for stress analysis of mechanical behaviors of biological sof...
OBJECTIVE: To build radiomic model in differentiating dissecting aneurysm (DA) from complicated sacc...
With the ever-increasing quality and quantity of imaging data in biomedical research comes the deman...
Atherosclerosis is the underlying pathology in a major part of cardiovascular disease, the leading c...
Plasma lipoproteins are important carriers of cholesterol and have been linked strongly to cardiovas...
OBJECTIVES: The study evaluates the plausibility and applicability of prediction, pattern recognitio...
The effects of resistance training (RT) associated with calcium β-hydroxyβ-methylbutyrate (CaHMB) su...
PURPOSE: To present a fully automatic method to estimate the corneal endothelium parameters from spe...
BACKGROUND: Quantitative coronary plaque parameters are increasingly being utilized as surrogate end...