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 powerful paradigm for cardiovascular risk stratification using multiclass, multi-label, and ensemble-based machine learning paradigms: A narrative review
Abstract Background and Motivation: Cardiovascular disease (CVD) causes the highest
mortality globally. With escalating healthcare costs, early non-invasive CVD risk assessment …
mortality globally. With escalating healthcare costs, early non-invasive CVD risk assessment …
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 …
the second leading cause of death worldwide according to the World Health Organization …
Dual-source photon-counting computed tomography—Part I: clinical overview of cardiac CT and coronary CT angiography applications
F Cademartiri, A Meloni, L Pistoia, G Degiorgi… - Journal of Clinical …, 2023 - mdpi.com
The photon-counting detector (PCD) is a new computed tomography detector technology
(photon-counting computed tomography, PCCT) that provides substantial benefits for …
(photon-counting computed tomography, PCCT) that provides substantial benefits for …
Carotid atherosclerotic disease: A systematic review of pathogenesis and management
SC Bir, RE Kelley - Brain circulation, 2022 - journals.lww.com
Carotid stenosis is an important contributor to ischemic stroke risk with resultant significant
impact on neurological disability and death in adults and with worldwide implications …
impact on neurological disability and death in adults and with worldwide implications …
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 …
Uric acid expression in carotid atherosclerotic plaque and serum uric acid are associated with cerebrovascular events
Background: Uric acid (UA) concentration within carotid plaque and its association with
cerebrovascular events have not been detected or quantified. Systemically, serum UA is a …
cerebrovascular events have not been detected or quantified. Systemically, serum UA is 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 …
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 …
cardiovascular and cerebrovascular diseases that bring high mortality and morbidity …