AIMC Topic: Coronary Angiography

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Early Feasibility of Automated Artificial Intelligence Angiography Based Fractional Flow Reserve Estimation.

The American journal of cardiology Oct 13, 2020
Despite the evidence of improved patients' outcome, fractional flow reserve (FFR) is underused in current everyday practice. We aimed to evaluate the feasibility of a novel automated artificial intelligence angiography-based FFR software (AutocathFFR...
Coronary Vessels Fractional Flow Reserve, Myocardial Female Male Middle Aged Time Factors ROC Curve Predictive Value of Tests Coronary Angiography Coronary Artery Disease Feasibility Studies Humans Artificial Intelligence Prospective Studies
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Development of Novel Artificial Intelligence to Detect the Presence of Clinically Meaningful Coronary Atherosclerotic Stenosis in Major Branch from Coronary Angiography Video.

Journal of atherosclerosis and thrombosis Oct 2, 2020
AIM: The clinically meaningful coronary stenosis is diagnosed by trained interventional cardiologists. Whether artificial intelligence (AI) could detect coronary stenosis from CAG video is unclear.
Artificial Intelligence Prognosis Retrospective Studies Aged Aged, 80 and over Humans Neural Networks, Computer Coronary Angiography Constriction, Pathologic Atherosclerosis Video Recording Young Adult Coronary Stenosis Adult Middle Aged Adolescent Follow-Up Studies
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VSSC Net: Vessel Specific Skip chain Convolutional Network for blood vessel segmentation.

Computer methods and programs in biomedicine Sep 28, 2020
BACKGROUND AND OBJECTIVE: Deep learning techniques are instrumental in developing network models that aid in the early diagnosis of life-threatening diseases. To screen and diagnose the retinal fundus and coronary blood vessel disorders, the most imp...
Retinal Vessels Neural Networks, Computer Coronary Angiography Fundus Oculi
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Comparison of Support Vector Machine, Naïve Bayes and Logistic Regression for Assessing the Necessity for Coronary Angiography.

International journal of environmental research and public health Sep 4, 2020
(1) Background: Coronary angiography is considered to be the most reliable method for the diagnosis of cardiovascular disease. However, angiography is an invasive procedure that carries a risk of complications; hence, it would be preferable for an ap...
Humans Artificial Intelligence Algorithms Cross-Sectional Studies New Zealand Logistic Models Iran Support Vector Machine Bayes Theorem Coronary Angiography
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Functional cardiac CT-Going beyond Anatomical Evaluation of Coronary Artery Disease with Cine CT, CT-FFR, CT Perfusion and Machine Learning.

The British journal of radiology Aug 12, 2020
The aim of this review is to provide an overview of different functional cardiac CT techniques which can be used to supplement assessment of the coronary arteries to establish the significance of coronary artery stenoses. We focus on cine-CT, CT-FFR,...
Clinical Trials as Topic Vascular Calcification Computed Tomography Angiography Myocardial Perfusion Imaging Coronary Stenosis Ventricular Function, Left Stroke Volume Coronary Angiography Coronary Artery Disease Fractional Flow Reserve, Myocardial Humans Machine Learning Tomography, X-Ray Computed
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Effect of vessel wall segmentation on volumetric and radiomic parameters of coronary plaques with adverse characteristics.

Journal of cardiovascular computed tomography Aug 10, 2020
BACKGROUND: Quantitative coronary plaque parameters are increasingly being utilized as surrogate endpoints of pharmaceutical trials. However, little is known whether differences in segmentation significantly alter parameter values.
Coronary Artery Disease Observer Variation Coronary Vessels Plaque, Atherosclerotic Vascular Calcification Computed Tomography Angiography Severity of Illness Index Clinical Competence Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results Aged Male Middle Aged Humans Machine Learning Retrospective Studies Female
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A Comparison of Three-Dimensional Speckle Tracking Echocardiography Parameters in Predicting Left Ventricular Remodeling.

Journal of healthcare engineering Jul 30, 2020
Three-dimensional speckle tracking echocardiography (3D STE) is an emerging noninvasive method for predicting left ventricular remodeling (LVR) after acute myocardial infarction (AMI). Previous studies analyzed the predictive value of 3D STE with tra...
Echocardiography Myocardial Infarction Risk Factors Middle Aged Heart Ventricles Humans Models, Statistical Aged ROC Curve Ventricular Remodeling Machine Learning Predictive Value of Tests Imaging, Three-Dimensional Adult Ventricular Dysfunction, Left Female Area Under Curve Sensitivity and Specificity Reproducibility of Results Coronary Angiography Male Percutaneous Coronary Intervention
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Using intravascular ultrasound image-based fluid-structure interaction models and machine learning methods to predict human coronary plaque vulnerability change.

Computer methods in biomechanics and biomedical engineering Jul 22, 2020
Plaque vulnerability prediction is of great importance in cardiovascular research. In vivo follow-up intravascular ultrasound (IVUS) coronary plaque data were acquired from nine patients to construct fluid-structure interaction models to obtain plaqu...
Ultrasonography, Interventional Linear Models Coronary Vessels Humans Plaque, Atherosclerotic Machine Learning Female Models, Cardiovascular ROC Curve Biomechanical Phenomena Risk Factors Imaging, Three-Dimensional Male Support Vector Machine Middle Aged Area Under Curve Ultrasonography Coronary Angiography
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The correlation of deep learning-based CAD-RADS evaluated by coronary computed tomography angiography with breast arterial calcification on mammography.

Scientific reports Jul 13, 2020
This study sought to evaluate the association of breast arterial calcification (BAC) on breast screening mammography with the Coronary Artery Disease-Reporting and Data System (CAD-RADS) based on Deep Learning-coronary computed tomography angiography...
Humans Female Risk Factors Aged Coronary Artery Disease Deep Learning Breast Computed Tomography Angiography Early Detection of Cancer Data Systems Aged, 80 and over Mammography Vascular Calcification Adult Coronary Angiography Breast Neoplasms Heart Middle Aged
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Deep learning analysis in coronary computed tomographic angiography imaging for the assessment of patients with coronary artery stenosis.

Computer methods and programs in biomedicine Jul 9, 2020
BACKGROUND AND OBJECTIVE: Recently, deep convolutional neural network has significantly improved image classification and image segmentation. If coronary artery disease (CAD) can be diagnosed through machine learning and deep learning, it will signif...
Humans Artificial Intelligence Retrospective Studies Tomography, X-Ray Computed Deep Learning Coronary Stenosis Predictive Value of Tests Coronary Angiography Coronary Artery Disease Coronary Vessels
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