Cardiovascular

Peripheral Artery Disease

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

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Showing 358-378 of 7,574 articles
A Machine Learning-Based Approach for the Prediction of Acute Coronary Syndrome Requiring Revascularization.

The aim of this study is to predict acute coronary syndrome (ACS) requiring revascularization in tho...

Sorghum Fermented by NK Enhances Inhibition of Vascular Inflammation in TNF-α-stimulated Human Aortic Smooth Muscle Cells.

Sorghum bicolor L. Moench is widely grown all over the world for food and feed. The effects of sor...

Automatic identification of atherosclerosis subjects in a heterogeneous MR brain imaging data set.

Carotid-artery atherosclerosis (CA) contributes significantly to overall morbidity and mortality in ...

Adjusting the dose in paediatric care: dispersing four different aspirin tablets and taking a proportion.

OBJECTIVES: When caring for children in a hospital setting, tablets are often manipulated at the war...

Deep learning-based carotid media-adventitia and lumen-intima boundary segmentation from three-dimensional ultrasound images.

PURPOSE: Quantification of carotid plaques has been shown to be important for assessing as well as m...

Computer-assisted prediction of atherosclerotic intimal thickness based on weight of adrenal gland, interleukin-6 concentration, and neural networks.

OBJECTIVE: Atherosclerosis (AS) is the main pathological basis of ischemic cardio-cerebrovascular di...

Advanced atherosclerosis imaging by CT: Radiomics, machine learning and deep learning.

In the last decade, technical advances in the field of medical imaging significantly improved and br...

Expression of socially sensitive genes: The multi-ethnic study of atherosclerosis.

BACKGROUND: Gene expression may be an important biological mediator in associations between social f...

Characterization of clot composition in acute cerebral infarct using machine learning techniques.

OBJECTIVE: Clot characteristics can provide information on the cause of cerebral artery occlusion an...

Intracranial Vessel Wall Segmentation Using Convolutional Neural Networks.

OBJECTIVE: To develop an automated vessel wall segmentation method using convolutional neural networ...

Rheumatoid Arthritis: Atherosclerosis Imaging and Cardiovascular Risk Assessment Using Machine and Deep Learning-Based Tissue Characterization.

PURPOSE OF THE REVIEW: Rheumatoid arthritis (RA) is a chronic, autoimmune disease which may result i...

Association Between Net Vertebral Artery Flow Volume and Non-AF Stroke: A Retrospective 2-Year Analysis.

Association between net vertebral artery flow volume (NVAFV) and stroke types remains unclear. We h...

Artificial intelligence to predict needs for urgent revascularization from 12-leads electrocardiography in emergency patients.

BACKGROUND: Patient with acute coronary syndrome benefits from early revascularization. However, met...

Constipation and risk of death and cardiovascular events.

BACKGROUND AND AIMS: Constipation is one of the most frequent symptoms encountered in daily clinical...

PENYEK: Automated brown planthopper detection from imperfect sticky pad images using deep convolutional neural network.

Rice is a staple food in Asia and it contributes significantly to the Gross Domestic Product (GDP) o...

Fibroblast growth factor 21 association with subclinical atherosclerosis and arterial stiffness in type 2 diabetes.

AIM: To evaluate the association of serum FGF21 with subclinical atherosclerosis and pulse wave velo...

More Than Just a Removal Service: Scavenger Receptors in Leukocyte Trafficking.

Scavenger receptors are a highly diverse superfamily of proteins which are grouped by their inherent...

A Recurrent CNN for Automatic Detection and Classification of Coronary Artery Plaque and Stenosis in Coronary CT Angiography.

Various types of atherosclerotic plaque and varying grades of stenosis could lead to different manag...

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