Cardiovascular

Peripheral Artery Disease

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

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Complex robotic compared to manual coronary interventions: 6- and 12-month outcomes.

OBJECTIVES: To assess the long-term safety and efficacy of robotic percutaneous coronary revasculari...

A Randomized Control Trial Of Anti-Inflammatory Regional Hypothermia On Urinary Continence During Robot-Assisted Radical Prostatectomy.

The present study seeks to present a single-blind, randomized control trial of a hypothermic anti-in...

Generalized multifactor dimensionality reduction approaches to identification of genetic interactions underlying ordinal traits.

The manifestation of complex traits is influenced by gene-gene and gene-environment interactions, an...

Coronary artery centerline extraction in cardiac CT angiography using a CNN-based orientation classifier.

Coronary artery centerline extraction in cardiac CT angiography (CCTA) images is a prerequisite for ...

Machine-learning integration of CT histogram analysis to evaluate the composition of atherosclerotic plaques: Validation with IB-IVUS.

BACKGROUND: To determine whether machine learning with histogram analysis of coronary CT angiography...

Do powered over-ground lower limb robotic exoskeletons affect outcomes in the rehabilitation of people with acquired brain injury?

To assess the effects of lower limb robotic exoskeletons on outcomes in the rehabilitation of peopl...

Determination of Curdlan Oligosaccharides with High-Performance Anion Exchange Chromatography with Pulsed Amperometric Detection.

The increasing interest of curdlan oligosaccharides (COS) in medicine and plant protection fields im...

Lipid-apolipoprotein interactions in amyloid fibril formation and relevance to atherosclerosis.

The apolipoprotein family is a set of highly conserved proteins characterized by the presence of amp...

Assessment of Carotid Artery Plaque Components With Machine Learning Classification Using Homodyned-K Parametric Maps and Elastograms.

Quantitative ultrasound (QUS) imaging methods, including elastography, echogenicity analysis, and sp...

Classification of pressure ulcer tissues with 3D convolutional neural network.

A 3D convolution neural network (CNN) of deep learning architecture is supplied with essential visua...

Extracting Healthcare Quality Information from Unstructured Data.

Healthcare quality research is a fundamental task that involves assessing treatment patterns and mea...

Detection of potential new biomarkers of atherosclerosis by probe electrospray ionization mass spectrometry.

INTRODUCTION: Atherosclerotic diseases are the leading cause of death worldwide. Biomarkers of ather...

Interpretation of ANN-based QSAR models for prediction of antioxidant activity of flavonoids.

Quantitative structure-activity relationships (QSARs) built using machine learning methods, such as ...

Natural language processing of clinical notes for identification of critical limb ischemia.

BACKGROUND: Critical limb ischemia (CLI) is a complication of advanced peripheral artery disease (PA...

In Situ Skeletonized Right Internal Mammary Artery Bypass Grafting to Left Anterior Descending Artery.

This study aimed to evaluate the feasibility and the mid-term efficacy of an in situ skeletonized ri...

Indoleamine 2,3-Dioxygenase (IDO) Enzyme Links Innate Immunity and Altered T-Cell Differentiation in Non-ST Segment Elevation Acute Coronary Syndrome.

Atherosclerosis is a chronic inflammatory disease characterized by a complex interplay between innat...

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