Latest AI and machine learning research in atherosclerosis for healthcare professionals.
BACKGROUND AND OBJECTIVES: Assessment and feedback are critical to surgical education, but direct ob...
PURPOSE: To compare the diagnostic performance of 1.5 T versus 3 T magnetic resonance angiography (M...
OBJECTIVE: We leveraged an artificial intelligence deep-learning convolutional neural network (DL CN...
The blood-brain barrier (BBB) is a selective barrier that controls the transport between the blood a...
Advances in robotic technology have improved standard techniques in numerous surgical and endovascul...
The risk of discovering an intracranial aneurysm during the initial screening and follow-up screenin...
BACKGROUND: Accurately predicting the risk of atherosclerotic cardiovascular disease (ASCVD) is cruc...
. Arterial wall stiffness can provide valuable information on the proper function of the cardiovascu...
BACKGROUND: Von Willebrand factor (vWF) is an important part of blood coagulation since it binds pla...
Computed tomography (CT) dramatically improved the capabilities of diagnostic and interventional rad...
BACKGROUND: Carotid plaque volume (CPV) can be measured by 3D ultrasound and may be a better predict...
A plaque assay-the gold-standard method for measuring the concentration of replication-competent lyt...
"Image-based" computational fluid dynamics (CFD) simulations provide insights into each patient's he...
OBJECTIVES: We evaluated the applicability of a machine learning-based low-density lipoprotein-chole...
BACKGROUND: Disruption of the endothelial glycocalyx (EG) is associated with a poor prognosis in var...
Autonomous grounded vehicle-based social assistance/service robot parking in an indoor environment i...
Vector flow imaging is a diagnostic ultrasound modality that is suited for the visualization of comp...
Sleep is an important indicator of a person's health, and its accurate and cost-effective quantifica...
Machine learning (ML) models are being actively used in modern medicine, including neurosurgery. Thi...
We have employed artificial intelligence to streamline the small molecule drug screening pipeline an...
To develop a combinatorial artificial-neural-network design-of-experiment (ANN-DOE) model, the effec...