Latest AI and machine learning research in atherosclerosis for healthcare professionals.
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...
BACKGROUND: Uremic toxins are associated with various chronic kidney disease-related comorbidities. ...
Plaque vulnerability prediction is of great importance in cardiovascular research. In vivo follow-up...
We studied the use of a rotating multi-layer 3D Light Detection And Ranging (LiDAR) sensor (specific...
This study sought to evaluate the association of breast arterial calcification (BAC) on breast scree...
OBJECTIVE: Early diagnosis of many diseases is essential for their treatment. Furthermore, the exist...
BACKGROUND: This study aimed to establish and validate a machine learning-based model for the predic...
Identification of glomerular lesions and structures is a key point for pathological diagnosis, treat...
The recent technological developments in the field of cardiac imaging have established coronary comp...
PURPOSE: To predict the anti-vascular endothelial growth factor (VEGF) therapeutic response of diabe...
Positron emission tomography (PET) imaging is useful in cardiovascular disease across several areas,...
MOTIVATION: Machine learning (ML)-based stroke risk stratification systems have typically focused on...
PURPOSE: The development of straightforward classification methods is needed to identify unstable an...
AIMS: Physical activity has consistently been shown to improve cardiovascular health and high-densit...
OBJECTIVES: To develop a deep learning algorithm for automated detection and localization of intracr...
BACKGROUND: Intracranial aneurysms (IAs) are common in the population and may cause death.
BACKGROUND: As the rupture of cerebral aneurysm may lead to fatal results, early detection of unrupt...
In the past decade, there has been a tremendous increase in studies on the link between oral microbi...
Machine learning (ML) as a novel approach could help clinicians address the challenge of accurate st...