Cardiovascular

Peripheral Artery Disease

Latest AI and machine learning research in peripheral artery disease for healthcare professionals.

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Showing 337-357 of 7,574 articles
Machine Learning Framework to Identify Individuals at Risk of Rapid Progression of Coronary Atherosclerosis: From the PARADIGM Registry.

Background Rapid coronary plaque progression (RPP) is associated with incident cardiovascular events...

Vitamin D insufficiency is associated with subclinical atherosclerosis in HIV-1-infected patients on combination antiretroviral therapy.

Vitamin D insufficiency has been associated with faster progression of atherosclerosis and increase...

Fully automated plaque characterization in intravascular OCT images using hybrid convolutional and lumen morphology features.

For intravascular OCT (IVOCT) images, we developed an automated atherosclerotic plaque characterizat...

Predicting Chronic Subdural Hematoma Recurrence and Stroke Outcomes While Withholding Antiplatelet and Anticoagulant Agents.

The aging of the western population and the increased use of oral anticoagulation (OAC) and antipla...

Label-Free Tomographic Imaging of Lipid Droplets in Foam Cells for Machine-Learning-Assisted Therapeutic Evaluation of Targeted Nanodrugs.

Lipid droplet (LD) accumulation, a key feature of foam cells, constitutes an attractive target for t...

Semantic segmentation with DenseNets for carotid artery ultrasound plaque segmentation and CIMT estimation.

BACKGROUND AND OBJECTIVE: The measurement of carotid intima media thickness (CIMT) in ultrasound ima...

Impact of galactooligosaccharides delivered in ovo on mitigating negative effects of heat stress on performance and welfare of broilers.

Galactooligosaccharides (GOS) delivered in ovo improve intestinal health of broiler chickens. This s...

The discoloration effect of diluted minocycline containing triple antibiotic gel used in revascularization.

BACKGROUND/PURPOSE: Triple antibiotic paste (TAP) has been successfully used in revascularization pr...

Brain age prediction using deep learning uncovers associated sequence variants.

Machine learning algorithms can be trained to estimate age from brain structural MRI. The difference...

Machine Learning for Assessment of Coronary Artery Disease in Cardiac CT: A Survey.

Cardiac computed tomography (CT) allows rapid visualization of the heart and coronary arteries with ...

Platelet-rich emboli are associated with von Willebrand factor levels and have poorer revascularization outcomes.

BACKGROUND AND AIMS: Platelets and von Willebrand factor (vWF) are key factors in thrombosis and thu...

Anti-varicella Zoster Virus IgG and hsCRP Levels Correlate with Progression of Coronary Artery Atherosclerosis.

The relationship between high levels of anti-Varicella Zoster Virus (VZV) IgG in cerebrospinal fluid...

Effect of Robot-Assisted Gait Training in a Large Population of Children With Motor Impairment Due to Cerebral Palsy or Acquired Brain Injury.

OBJECTIVE: To evaluate retrospectively the effect of robotic rehabilitation in a large group of chil...

Diagnostic Performance of Machine Learning Based CT-FFR in Detecting Ischemia in Myocardial Bridging and Concomitant Proximal Atherosclerotic Disease.

BACKGROUND: The diagnostic performance of coronary computed tomography angiography-derived fractiona...

Radiomics versus Visual and Histogram-based Assessment to Identify Atheromatous Lesions at Coronary CT Angiography: An ex Vivo Study.

Background Visual and histogram-based assessments of coronary CT angiography have limited accuracy i...

Machine learning analysis of serum biomarkers for cardiovascular risk assessment in chronic kidney disease.

BACKGROUND: Chronic kidney disease (CKD) patients show an increased burden of atherosclerosis and hi...

Validation of a simple equation for glomerular filtration rate measurement based on plasma iohexol disappearance.

BACKGROUND: A simple equation for glomerular filtration rate (GFR) measurement based on only plasma ...

Classification of Carotid Artery Intima Media Thickness Ultrasound Images with Deep Learning.

Cerebrovascular accident due to carotid artery disease is the most common cause of death in develope...

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