Global perspective on carotid intima-media thickness and plaque: should the current measurement guidelines be revisited?
Carotid intima-media thickness (cIMT) and carotid plaque (CP) currently act as risk
predictors for CVD/Stroke risk assessment. Over 2000 articles have been published that …
predictors for CVD/Stroke risk assessment. Over 2000 articles have been published that …
Integration of cardiovascular risk assessment with COVID-19 using artificial intelligence
Artificial Intelligence (AI), in general, refers to the machines (or computers) that mimic"
cognitive" functions that we associate with our mind, such as" learning" and" solving …
cognitive" functions that we associate with our mind, such as" learning" and" solving …
Segmentation-based classification deep learning model embedded with explainable AI for COVID-19 detection in chest X-ray scans
Background and Motivation: COVID-19 has resulted in a massive loss of life during the last
two years. The current imaging-based diagnostic methods for COVID-19 detection in …
two years. The current imaging-based diagnostic methods for COVID-19 detection in …
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 …
COVLIAS 1.0: lung segmentation in COVID-19 computed tomography scans using hybrid deep learning artificial intelligence models
Background: COVID-19 lung segmentation using Computed Tomography (CT) scans is
important for the diagnosis of lung severity. The process of automated lung segmentation is …
important for the diagnosis of lung severity. The process of automated lung segmentation is …
[HTML][HTML] Cardiovascular/stroke risk predictive calculators: a comparison between statistical and machine learning models
Background Statistically derived cardiovascular risk calculators (CVRC) that use
conventional risk factors, generally underestimate or overestimate the risk of cardiovascular …
conventional risk factors, generally underestimate or overestimate the risk of cardiovascular …
Deep learning strategy for accurate carotid intima-media thickness measurement: an ultrasound study on Japanese diabetic cohort
Motivation The carotid intima-media thickness (cIMT) is an important biomarker for
cardiovascular diseases and stroke monitoring. This study presents an intelligence-based …
cardiovascular diseases and stroke monitoring. This study presents an intelligence-based …
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 …
Attention-enabled ensemble deep learning models and their validation for depression detection: A domain adoption paradigm
Depression is increasingly prevalent, leading to higher suicide risk. Depression detection
and sentimental analysis of text inputs in cross-domain frameworks are challenging. Solo …
and sentimental analysis of text inputs in cross-domain frameworks are challenging. Solo …