Understanding the bias in machine learning systems for cardiovascular disease risk assessment: The first of its kind review
Abstract Background Artificial Intelligence (AI), in particular, machine learning (ML) has
shown promising results in coronary artery disease (CAD) or cardiovascular disease (CVD) …
shown promising results in coronary artery disease (CAD) or cardiovascular disease (CVD) …
A review on joint carotid intima-media thickness and plaque area measurement in ultrasound for cardiovascular/stroke risk monitoring: artificial intelligence framework
Cardiovascular diseases (CVDs) are the top ten leading causes of death worldwide.
Atherosclerosis disease in the arteries is the main cause of the CVD, leading to myocardial …
Atherosclerosis disease in the arteries is the main cause of the CVD, leading to myocardial …
Hybrid deep learning segmentation models for atherosclerotic plaque in internal carotid artery B-mode ultrasound
The automated and accurate carotid plaque segmentation in B-mode ultrasound (US) is an
essential part of stroke risk stratification. Previous segmented methods used AtheroEdge™ …
essential part of stroke risk stratification. Previous segmented methods used AtheroEdge™ …
Eight pruning deep learning models for low storage and high-speed COVID-19 computed tomography lung segmentation and heatmap-based lesion localization: A …
Abstract Background COVLIAS 1.0: an automated lung segmentation was designed for
COVID-19 diagnosis. It has issues related to storage space and speed. This study shows …
COVID-19 diagnosis. It has issues related to storage space and speed. This study shows …
Attention-based UNet deep learning model for plaque segmentation in carotid ultrasound for stroke risk stratification: an artificial intelligence paradigm
Stroke and cardiovascular diseases (CVD) significantly affect the world population. The
early detection of such events may prevent the burden of death and costly surgery …
early detection of such events may prevent the burden of death and costly surgery …
Unseen artificial intelligence—Deep learning paradigm for segmentation of low atherosclerotic plaque in carotid ultrasound: A multicenter cardiovascular study
Background: The early detection of carotid wall plaque is recommended in the prevention of
cardiovascular disease (CVD) in moderate-risk patients. Previous techniques for B-mode …
cardiovascular disease (CVD) in moderate-risk patients. Previous techniques for B-mode …
Cardiovascular disease detection using machine learning and carotid/femoral arterial imaging frameworks in rheumatoid arthritis patients
The study proposes a novel machine learning (ML) paradigm for cardiovascular disease
(CVD) detection in individuals at medium to high cardiovascular risk using data from a Greek …
(CVD) detection in individuals at medium to high cardiovascular risk using data from a Greek …
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 …
Two-stage artificial intelligence model for jointly measurement of atherosclerotic wall thickness and plaque burden in carotid ultrasound: A screening tool for …
Motivation The early screening of cardiovascular diseases (CVD) can lead to effective
treatment. Thus, accurate and reliable atherosclerotic carotid wall detection and plaque …
treatment. Thus, accurate and reliable atherosclerotic carotid wall detection and plaque …
A low-cost machine learning-based cardiovascular/stroke risk assessment system: integration of conventional factors with image phenotypes
Background Most cardiovascular (CV)/stroke risk calculators using the integration of carotid
ultrasound image-based phenotypes (CUSIP) with conventional risk factors (CRF) have …
ultrasound image-based phenotypes (CUSIP) with conventional risk factors (CRF) have …