Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
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) …
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 …
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/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 …
A multicenter study on carotid ultrasound plaque tissue characterization and classification using six deep artificial intelligence models: a stroke application
Atherosclerotic plaque in carotid arteries can ultimately lead to cerebrovascular events if not
monitored. The objectives of this study are (a) to design a set of artificial intelligence (AI) …
monitored. The objectives of this study are (a) to design a set of artificial intelligence (AI) …
[HTML][HTML] Cardiovascular/stroke risk prevention: A new machine learning framework integrating carotid ultrasound image-based phenotypes and its harmonics with …
Motivation Machine learning (ML)-based stroke risk stratification systems have typically
focused on conventional risk factors (CRF)(AtheroRisk-conventional). Besides CRF, carotid …
focused on conventional risk factors (CRF)(AtheroRisk-conventional). Besides CRF, carotid …
Ensemble machine learning and its validation for prediction of coronary artery disease and acute coronary syndrome using focused carotid ultrasound
The objective of this study is to demonstrate the effectiveness of ensemble-learning-driven
machine learning (EML) algorithms over the conventional ML (CML) algorithms in predicting …
machine learning (EML) algorithms over the conventional ML (CML) algorithms in predicting …
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 …
Preclinical carotid atherosclerosis as an indicator of polyvascular disease: a narrative review
Carotid atherosclerotic lesions are correlated with atherosclerotic deterioration of the arterial
wall in other vascular territories and with cardiovascular events. The detection of pre …
wall in other vascular territories and with cardiovascular events. The detection of pre …