Blockchain, artificial intelligence, and healthcare: the tripod of future—a narrative review
The fusion of blockchain and artificial intelligence (AI) marks a paradigm shift in healthcare,
addressing critical challenges in securing electronic health records (EHRs), ensuring data …
addressing critical challenges in securing electronic health records (EHRs), ensuring data …
Automated localization and segmentation techniques for B-mode ultrasound images: A review
B-mode ultrasound imaging is used extensively in medicine. Hence, there is a need to have
efficient segmentation tools to aid in computer-aided diagnosis, image-guided interventions …
efficient segmentation tools to aid in computer-aided diagnosis, image-guided interventions …
A hybrid deep learning paradigm for carotid plaque tissue characterization and its validation in multicenter cohorts using a supercomputer framework
Background Early and automated detection of carotid plaques prevents strokes, which are
the second leading cause of death worldwide according to the World Health Organization …
the second leading cause of death worldwide according to the World Health Organization …
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 …
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 …
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 …
Carotid Ultrasound Boundary Study (CUBS): Technical considerations on an open multi-center analysis of computerized measurement systems for intima-media …
After publishing an in-depth study that analyzed the ability of computerized methods to assist
or replace human experts in obtaining carotid intima-media thickness (CIMT) measurements …
or replace human experts in obtaining carotid intima-media thickness (CIMT) measurements …
Plaque tissue morphology-based stroke risk stratification using carotid ultrasound: a polling-based PCA learning paradigm
This chapter introduces a polling-based principal component analysis strategy embedded in
the machine-learning framework to select and retain dominant features, resulting in superior …
the machine-learning framework to select and retain dominant features, resulting in superior …
UNet deep learning architecture for segmentation of vascular and non-vascular images: a microscopic look at UNet components buffered with pruning, explainable …
Biomedical image segmentation (BIS) task is challenging due to the variations in organ
types, position, shape, size, scale, orientation, and image contrast. Conventional methods …
types, position, shape, size, scale, orientation, and image contrast. Conventional methods …
A review on atherosclerotic biology, wall stiffness, physics of elasticity, and its ultrasound-based measurement
Functional and structural changes in the common carotid artery are biomarkers for
cardiovascular risk. Current methods for measuring functional changes include pulse wave …
cardiovascular risk. Current methods for measuring functional changes include pulse wave …