AIMC Topic: Carotid Intima-Media Thickness
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Artificial intelligence-based cardiovascular/stroke risk stratification in women affected by autoimmune disorders: a narrative survey.
Rheumatology international
Jan 2, 2025
Women are disproportionately affected by chronic autoimmune diseases (AD) like systemic lupus erythematosus (SLE), scleroderma, rheumatoid arthritis (RA), and Sjögren's syndrome. Traditional evaluations often underestimate the associated cardiovascul...
Deep learning approach for cardiovascular disease risk stratification and survival analysis on a Canadian cohort.
The international journal of cardiovascular imaging
Apr 28, 2024
The quantification of carotid plaque has been routinely used to predict cardiovascular risk in cardiovascular disease (CVD) and coronary artery disease (CAD). To determine how well carotid plaque features predict the likelihood of CAD and cardiovascu...
Risk Assessment
Deep Learning
Time Factors
Canada
Aged
Male
Middle Aged
Heart Disease Risk Factors
Image Interpretation, Computer-Assisted
Carotid Intima-Media Thickness
Carotid Arteries
Predictive Value of Tests
Coronary Angiography
Coronary Artery Disease
Humans
Female
Risk Factors
Decision Support Techniques
Prognosis
Plaque, Atherosclerotic
Carotid Artery Diseases
A deep learning-based calculation system for plaque stenosis severity on common carotid artery of ultrasound images.
Vascular
Apr 24, 2024
ObjectivesAssessment of plaque stenosis severity allows better management of carotid source of stroke. Our objective is to create a deep learning (DL) model to segment carotid intima-media thickness and plaque and further automatically calculate plaq...
A Siamese ResNeXt network for predicting carotid intimal thickness of patients with T2DM from fundus images.
Frontiers in endocrinology
Mar 14, 2024
OBJECTIVE: To develop and validate an artificial intelligence diagnostic model based on fundus images for predicting Carotid Intima-Media Thickness (CIMT) in individuals with Type 2 Diabetes Mellitus (T2DM).
Emerging Feature Extraction Techniques for Machine Learning-Based Classification of Carotid Artery Ultrasound Images.
Computational intelligence and neuroscience
May 12, 2022
Plaque deposits in the carotid artery are the major cause of stroke and atherosclerosis. Ultrasound imaging is used as an early indicator of disease progression. Classification of the images to identify plaque presence and intima-media thickness (IMT...
Vitamin D insufficiency is associated with subclinical atherosclerosis in HIV-1-infected patients on combination antiretroviral therapy.
HIV research & clinical practice
Feb 17, 2020
Vitamin D insufficiency has been associated with faster progression of atherosclerosis and increased cardiovascular disease risk, but limited data are available in HIV-infected people. So, we examined potential correlation between vitamin D status a...
Semantic segmentation with DenseNets for carotid artery ultrasound plaque segmentation and CIMT estimation.
Artificial intelligence in medicine
Dec 31, 2019
BACKGROUND AND OBJECTIVE: The measurement of carotid intima media thickness (CIMT) in ultrasound images can be used to detect the presence of atherosclerotic plaques. Usually, the CIMT estimation strategy is semi-automatic, since it requires: (1) a m...
Classification of Carotid Artery Intima Media Thickness Ultrasound Images with Deep Learning.
Journal of medical systems
Jul 5, 2019
Cerebrovascular accident due to carotid artery disease is the most common cause of death in developed countries following heart disease and cancer. For a reliable early detection of atherosclerosis, Intima Media Thickness (IMT) measurement and classi...
Computer-assisted prediction of atherosclerotic intimal thickness based on weight of adrenal gland, interleukin-6 concentration, and neural networks.
The Journal of international medical research
Apr 30, 2019
OBJECTIVE: Atherosclerosis (AS) is the main pathological basis of ischemic cardio-cerebrovascular diseases, and the intimal thickness (IT) of large arteries is regarded as a powerful evaluation indicator for AS. We established an effective neural net...
Convolutional Neural Network for Segmentation and Measurement of Intima Media Thickness.
Journal of medical systems
Jul 9, 2018
The measurement of Carotid Intima Media Thickness (IMT) on Common Carotid Artery (CCA) is a principle marker of risk of cardiovascular disease. This paper presents a novel method of using deep Convolutional Neural Network (CNN) for identification and...
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