Latest AI and machine learning research in atherosclerosis for healthcare professionals.
Obesity is associated with changes in the plasma lipids. Although simple lipid quantification is rou...
PURPOSE: Early detection of carotid atherosclerosis on the vessel wall (VW) magnetic resonance imagi...
Neuroimaging-based infant age prediction is important for brain development analysis but often suffe...
INTRODUCTION: Endocan is a specific endothelial mediator involved in the inflammatory response. Its ...
Background and Purpose- The availability of and expertise to interpret advanced neuroimaging recomme...
Machine learning (ML) is a type of artificial intelligence (AI) based on pattern recognition. There ...
PURPOSE: Vulnerable plaque detection is important to acute coronary syndrome (ACS) diagnosis. In rec...
PURPOSE: Incidental aneurysms pose a challenge to physicians who need to decide whether or not to tr...
In the present study, an infrared (IR) thermal camera was used to map the temperature of the target ...
BACKGROUND: The diagnostic performance of coronary computed tomography angiography-derived fractiona...
BACKGROUND: Angiographic parametric imaging (API) is an imaging method that uses digital subtraction...
PURPOSE: Periodontal ligament stem cells (PDLSCs) have considerable potential for use as a means of ...
Diabetes is a global public health disease projected to affect 642 million adults by 2040, with abou...
This study investigated the impact of coronary CT angiography (cCTA)-derived plaque markers and mach...
Background Visual and histogram-based assessments of coronary CT angiography have limited accuracy i...
BACKGROUND: Chronic kidney disease (CKD) patients show an increased burden of atherosclerosis and hi...
Lead, mercury, and cadmium are common environmental pollutants in industrialized countries, but thei...
BACKGROUND: A simple equation for glomerular filtration rate (GFR) measurement based on only plasma ...
The aim of this study was to evaluate the immune-inflammatory, metabolic, and nitro-oxidative stress...
Background and Purpose- Discrimination of the stability of intracranial aneurysms is critical for de...
BACKGROUND: Machine learning (ML) has been increasingly used in medicine and neurosurgery. We sought...