A powerful paradigm for cardiovascular risk stratification using multiclass, multi-label, and ensemble-based machine learning paradigms: A narrative review

JS Suri, M Bhagawati, S Paul, AD Protogerou… - Diagnostics, 2022 - mdpi.com
Abstract Background and Motivation: Cardiovascular disease (CVD) causes the highest
mortality globally. With escalating healthcare costs, early non-invasive CVD risk assessment …

Role of cardiovascular imaging in risk assessment: recent advances, gaps in evidence, and future directions

F Perone, M Bernardi, A Redheuil, D Mafrica… - Journal of Clinical …, 2023 - mdpi.com
Optimal risk assessment for primary prevention remains highly challenging. Recent
registries have highlighted major discrepancies between guidelines and daily practice …

A hybrid deep learning paradigm for carotid plaque tissue characterization and its validation in multicenter cohorts using a supercomputer framework

SS Skandha, A Nicolaides, SK Gupta… - Computers in biology …, 2022 - Elsevier
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 …

Ultrasound-based internal carotid artery plaque characterization using deep learning paradigm on a supercomputer: a cardiovascular disease/stroke risk assessment …

L Saba, SS Sanagala, SK Gupta, VK Koppula… - … International Journal of …, 2021 - Springer
Visual or manual characterization and classification of atherosclerotic plaque lesions are
tedious, error-prone, and time-consuming. The purpose of this study is to develop and …

Exploring deep learning for carotid artery plaque segmentation: atherosclerosis to cardiovascular risk biomarkers

PK Jain, KV Tadepalli, S Roy, N Sharma - Multimedia Tools and …, 2024 - Springer
Atherosclerosis, caused by a variety of extrinsic risk factors, is the major cause of the
cardiovascular and cerebrovascular diseases that bring high mortality and morbidity …

Development and validation of explainable machine-learning models for carotid atherosclerosis early screening

K Yun, T He, S Zhen, M Quan, X Yang, D Man… - Journal of Translational …, 2023 - Springer
Background Carotid atherosclerosis (CAS), an important factor in the development of stroke,
is a major public health concern. The aim of this study was to establish and validate machine …

3D ultrasound imaging: fast and cost-effective morphometry of musculoskeletal tissue

G Weide, S Van Der Zwaard, PA Huijing… - JoVE (Journal of …, 2017 - jove.com
The developmental goal of 3D ultrasound imaging (3DUS) is to engineer a modality to
perform 3D morphological ultrasound analysis of human muscles. 3DUS images are …

Carotid plaques and neurological impairment in patients with acute cerebral infarction

T Ni, Y Fu, W Zhou, M Chen, J Shao, W Zhou, E Mao… - PLoS …, 2020 - journals.plos.org
Objective To determine whether the coexistence of carotid atherosclerosis plaque affects the
neurological function of cerebral infarction. Methods A total of 1078 patients with acute …

Cardiovascular/stroke risk assessment in patients with erectile dysfunction—a role of carotid wall arterial imaging and plaque tissue characterization using artificial …

NN Khanna, M Maindarkar, A Saxena, P Ahluwalia… - Diagnostics, 2022 - mdpi.com
Purpose: The role of erectile dysfunction (ED) has recently shown an association with the
risk of stroke and coronary heart disease (CHD) via the atherosclerotic pathway …

The association between urine di-(2-ethylhexyl) phthalate metabolites, global DNA methylation, and subclinical atherosclerosis in a young Taiwanese population

CY Lin, HL Lee, YT Hwang, C Wang, CJ Hsieh… - Environmental …, 2020 - Elsevier
Abstract Di-(2-ethylhexyl) phthalate (DEHP) has been utilized in many products for years.
DEHP exposure has been linked to cardiovascular diseases (CVD) and its risk factors …