[HTML][HTML] Multimodality carotid plaque tissue characterization and classification in the artificial intelligence paradigm: A narrative review for stroke application
Cardiovascular disease (CVD) is one of the leading causes of morbidity and mortality in the
United States of America and globally. Carotid arterial plaque, a cause and also a marker of …
United States of America and globally. Carotid arterial plaque, a cause and also a marker of …
Ultrasound methods in the evaluation of atherosclerosis: From pathophysiology to clinic
G Cismaru, T Serban, A Tirpe - Biomedicines, 2021 - mdpi.com
Atherosclerosis is a key pathological process that causes a plethora of pathologies,
including coronary artery disease, peripheral artery disease, and ischemic stroke. The silent …
including coronary artery disease, peripheral artery disease, and ischemic stroke. The silent …
Recommendations for the assessment of carotid arterial plaque by ultrasound for the characterization of atherosclerosis and evaluation of cardiovascular risk: from the …
Atherosclerotic plaque detection by carotid ultrasound provides cardiovascular disease risk
stratification. The advantages and disadvantages of two-dimensional (2D) and three …
stratification. The advantages and disadvantages of two-dimensional (2D) and three …
Deep learning artificial intelligence framework for multiclass coronary artery disease prediction using combination of conventional risk factors, carotid ultrasound, and …
Objective Cardiovascular disease (CVD) is a major healthcare challenge and therefore early
risk assessment is vital. Previous assessment techniques use either “conventional CVD risk …
risk assessment is vital. Previous assessment techniques use either “conventional CVD risk …
Multiclass machine learning vs. conventional calculators for stroke/CVD risk assessment using carotid plaque predictors with coronary angiography scores as gold …
Abstract Machine learning (ML)-based algorithms for cardiovascular disease (CVD) risk
assessment have shown promise in clinical decisions. However, they usually predict binary …
assessment have shown promise in clinical decisions. However, they usually predict binary …
A machine learning framework for risk prediction of multi-label cardiovascular events based on focused carotid plaque B-Mode ultrasound: A Canadian study
Motivation Machine learning (ML) algorithms can provide better cardiovascular event (CVE)
prediction. However, ML algorithms are mostly explored for predicting a single CVE at a …
prediction. However, ML algorithms are mostly explored for predicting a single CVE at a …
International Union of Angiology (IUA) consensus paper on imaging strategies in atherosclerotic carotid artery imaging: From basic strategies to advanced approaches
Cardiovascular disease (CVD) is the leading cause of mortality and disability in developed
countries. According to WHO, an estimated 17.9 million people died from CVDs in 2019 …
countries. According to WHO, an estimated 17.9 million people died from CVDs in 2019 …
Cardiovascular risk stratification in diabetic retinopathy via atherosclerotic pathway in COVID-19/non-COVID-19 frameworks using artificial intelligence paradigm: a …
Diabetes is one of the main causes of the rising cases of blindness in adults. This
microvascular complication of diabetes is termed diabetic retinopathy (DR) and is …
microvascular complication of diabetes is termed diabetic retinopathy (DR) and is …
[HTML][HTML] Plaque elasticity and intraplaque neovascularisation on carotid artery ultrasound: a comparative histological study
Y Zhang, J Cao, J Zhou, C Zhang, Q Li, S Chen… - European Journal of …, 2021 - Elsevier
Objective Plaque elasticity and intraplaque neovascularisation are strongly suggestive of
vulnerable plaque. This study aimed to investigate the relationship between intraplaque …
vulnerable plaque. This study aimed to investigate the relationship between intraplaque …
Contrast-enhanced ultrasound to assess carotid intraplaque neovascularization
Contrast-enhanced ultrasound (CEUS) is increasingly being used to identify patients with
carotid plaques that are vulnerable to rupture, so-called vulnerable atherosclerotic plaques …
carotid plaques that are vulnerable to rupture, so-called vulnerable atherosclerotic plaques …