Vascular Calcification

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Artificial intelligence modeling of vascular calcification.

Acta biochimica et biophysica Sinica Dec 11, 2020
Humans Artificial Intelligence Vascular Calcification Models, Cardiovascular
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Machine learning to predict the long-term risk of myocardial infarction and cardiac death based on clinical risk, coronary calcium, and epicardial adipose tissue: a prospective study.

Cardiovascular research Dec 1, 2020
AIMS: Our aim was to evaluate the performance of machine learning (ML), integrating clinical parameters with coronary artery calcium (CAC), and automated epicardial adipose tissue (EAT) quantification, for the prediction of long-term risk of myocardi...
Predictive Value of Tests Coronary Angiography Prospective Studies Cause of Death Prognosis Humans Radiographic Image Interpretation, Computer-Assisted Female Machine Learning Risk Assessment Male Decision Support Techniques Multidetector Computed Tomography Time Factors Middle Aged Coronary Artery Disease Vascular Calcification Adipose Tissue Computed Tomography Angiography Pericardium Risk Factors Myocardial Infarction Aged Sex Factors
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Accuracy of an Artificial Intelligence Deep Learning Algorithm Implementing a Recurrent Neural Network With Long Short-term Memory for the Automated Detection of Calcified Plaques From Coronary Computed Tomography Angiography.

Journal of thoracic imaging May 1, 2020
PURPOSE: The purpose of this study was to evaluate the accuracy of a novel fully automated deep learning (DL) algorithm implementing a recurrent neural network (RNN) with long short-term memory (LSTM) for the detection of coronary artery calcium (CAC...
Reproducibility of Results Deep Learning Coronary Angiography Neural Networks, Computer Artificial Intelligence Retrospective Studies Vascular Calcification Computed Tomography Angiography Time Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Coronary Vessels Humans
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Automated segmentation and quantification of aortic calcification at abdominal CT: application of a deep learning-based algorithm to a longitudinal screening cohort.

Abdominal radiology (New York) Aug 1, 2019
OBJECTIVE: To investigate an automated aortic calcium segmentation and scoring tool at abdominal CT in an adult screening cohort.
Radiographic Image Interpretation, Computer-Assisted Pattern Recognition, Automated Aorta, Abdominal Radiography, Abdominal Vascular Calcification Aortic Diseases Middle Aged Deep Learning Mass Screening Aged Adult Male Tomography, X-Ray Computed Humans Female
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Metabolic acidosis of chronic kidney disease and subclinical cardiovascular disease markers: Friend or foe?

Medicine Nov 1, 2017
The effect of chronic metabolic acidosis (MA) on cardiovascular disease (CVD) in the setting of chronic kidney disease (CKD) is largely unknown. Therefore, we aimed to study this relationship in nondialysis CKD patients.This cross-sectional, single-c...
Phosphates Cross-Sectional Studies Female Bicarbonates Cholesterol Humans Risk Factors Male Triglycerides Vascular Calcification Ankle Brachial Index Prospective Studies Aged Acidosis Cardiovascular Diseases Carotid Intima-Media Thickness Biomarkers Renal Insufficiency, Chronic Middle Aged Glomerular Filtration Rate Logistic Models
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Association of Multiorgan Computed Tomographic Phenomap With Adverse Cardiovascular Health Outcomes: The Framingham Heart Study.

JAMA cardiology Nov 1, 2017
IMPORTANCE: Increased ability to quantify anatomical phenotypes across multiple organs provides the opportunity to assess their cumulative ability to identify individuals at greatest susceptibility for adverse outcomes.
United States Longitudinal Studies Liver Adipose Tissue Principal Component Analysis Muscle, Skeletal Mortality Unsupervised Machine Learning Aorta Middle Aged Vascular Calcification Risk Assessment Phenotype Coronary Vessels Cohort Studies Heart Valves Tomography, X-Ray Computed Adult Proof of Concept Study Cause of Death Humans Female Intra-Abdominal Fat Male Stroke Aged Myocardial Infarction Cardiovascular Diseases
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