AIMC Topic: Coronary Artery Disease

Clear Filters Showing 341 to 350 of 525 articles

Machine Learning Using CT-FFR Predicts Proximal Atherosclerotic Plaque Formation Associated With LAD Myocardial Bridging.

JACC. Cardiovascular imaging Mar 13, 2019
Female Risk Factors Aged Male Middle Aged Humans Machine Learning Prognosis Retrospective Studies Coronary Vessels Plaque, Atherosclerotic Computed Tomography Angiography Fractional Flow Reserve, Myocardial Myocardial Bridging Time Factors Predictive Value of Tests Coronary Angiography Coronary Artery Disease Image Interpretation, Computer-Assisted
View on PubMed DOI

An automated data verification approach for improving data quality in a clinical registry.

Computer methods and programs in biomedicine Jan 31, 2019
BACKGROUND AND OBJECTIVE: The quality of data is crucial for clinical registry studies as it impacts credibility. In the regular practice of most such studies, a vulnerability arises from researchers recording data on paper-based case report forms (C...
Reproducibility of Results Regression Analysis Natural Language Processing Registries Coronary Artery Disease Machine Learning Algorithms Databases, Factual Electronic Health Records Language Pattern Recognition, Automated Programming Languages Data Accuracy Information Storage and Retrieval Medical Informatics Automation Humans
View on PubMed DOI

Computational Prediction of Human Disease- Associated circRNAs Based on Manifold Regularization Learning Framework.

IEEE journal of biomedical and health informatics Jan 9, 2019
The accumulating evidences regarding circular RNAs (circRNAs) indicate that they play crucial roles in a wide range of biological processes and participate in tumorigenesis and progression. The number of newly discovered circRNAs have increased drama...
Humans Machine Learning Algorithms Neoplasms Computational Biology Area Under Curve Coronary Artery Disease RNA, Circular
View on PubMed DOI

A clinical, proteomics, and artificial intelligence-driven model to predict acute kidney injury in patients undergoing coronary angiography.

Clinical cardiology Jan 8, 2019
BACKGROUND: Standard measures of kidney function are only modestly useful for accurate prediction of risk for acute kidney injury (AKI).
Creatinine Aged Male Risk Assessment Incidence ROC Curve Proteomics Contrast Media Predictive Value of Tests Artificial Intelligence Coronary Angiography Prospective Studies Coronary Artery Disease Humans Biomarkers Acute Kidney Injury Female
View on PubMed DOI

Decreased circulating catestatin levels are associated with coronary artery disease: The emerging anti-inflammatory role.

Atherosclerosis Dec 24, 2018
BACKGROUND AND AIMS: The neuropeptide catestatin (CST) is an endogenous nicotinic cholinergic antagonist that acts as pleiotropic cardiac protective hormone. This study investigated the association between CST and coronary artery disease (CAD) and th...
Disease Models, Animal Mice, Knockout, ApoE Human Umbilical Vein Endothelial Cells Peptidyl-Dipeptidase A Peptide Fragments Plaque, Atherosclerotic Female Humans Anti-Inflammatory Agents Animals Cells, Cultured Atherosclerosis Coronary Artery Disease Male Cytokines Down-Regulation Severity of Illness Index Biomarkers Cell Adhesion Molecules Case-Control Studies Angiotensin-Converting Enzyme 2 Chromogranin A
View on PubMed DOI

Complex robotic compared to manual coronary interventions: 6- and 12-month outcomes.

Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions Nov 19, 2018
OBJECTIVES: To assess the long-term safety and efficacy of robotic percutaneous coronary revascularization for use in complex coronary lesions.
Time Factors Treatment Outcome Robotics Registries Percutaneous Coronary Intervention Coronary Artery Disease Stroke Myocardial Infarction Therapy, Computer-Assisted Female Risk Factors Aged Male Middle Aged Humans
View on PubMed DOI

Artificial intelligence machine learning-based coronary CT fractional flow reserve (CT-FFR): Impact of iterative and filtered back projection reconstruction techniques.

Journal of cardiovascular computed tomography Oct 26, 2018
BACKGROUND: The influence of computed tomography (CT) reconstruction algorithms on the performance of machine-learning-based CT-derived fractional flow reserve (CT-FFR) has not been investigated. CT-FFR values and processing time of two reconstructio...
Computed Tomography Angiography Coronary Stenosis Fractional Flow Reserve, Myocardial Aged Male Middle Aged Severity of Illness Index Predictive Value of Tests Humans Coronary Angiography Machine Learning Radiographic Image Interpretation, Computer-Assisted Retrospective Studies Coronary Artery Disease Female Workflow Reproducibility of Results Coronary Vessels
View on PubMed DOI

Machine-learning integration of CT histogram analysis to evaluate the composition of atherosclerotic plaques: Validation with IB-IVUS.

Journal of cardiovascular computed tomography Oct 21, 2018
BACKGROUND: To determine whether machine learning with histogram analysis of coronary CT angiography (CCTA) yields higher diagnostic performance for coronary plaque characterization than the conventional cut-off method using the median CT number.
Machine Learning Retrospective Studies Female Reproducibility of Results Aged Male Predictive Value of Tests Coronary Angiography Ultrasonography, Interventional Radiographic Image Interpretation, Computer-Assisted Humans Coronary Artery Disease Coronary Vessels Multidetector Computed Tomography Plaque, Atherosclerotic Computed Tomography Angiography
View on PubMed DOI

Deep Learning Analysis of Upright-Supine High-Efficiency SPECT Myocardial Perfusion Imaging for Prediction of Obstructive Coronary Artery Disease: A Multicenter Study.

Journal of nuclear medicine : official publication, Society of Nuclear Medicine Sep 27, 2018
Combined analysis of SPECT myocardial perfusion imaging (MPI) performed with a solid-state camera on patients in 2 positions (semiupright, supine) is routinely used to mitigate attenuation artifacts. We evaluated the prediction of obstructive disease...
Aged Male Middle Aged Deep Learning Humans Coronary Artery Disease Image Processing, Computer-Assisted Female Heart Ventricles Stress, Physiological Tomography, Emission-Computed, Single-Photon Myocardial Perfusion Imaging
View on PubMed DOI

Diagnostic performance of an artificial intelligence-driven cardiac-structured reporting system for myocardial perfusion SPECT imaging.

Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology Sep 12, 2018
OBJECTIVES: To describe and validate an artificial intelligence (AI)-driven structured reporting system by direct comparison of automatically generated reports to results from actual clinical reports generated by nuclear cardiology experts.
Coronary Artery Disease Observer Variation Tomography, Emission-Computed, Single-Photon Myocardial Perfusion Imaging Sensitivity and Specificity Male Middle Aged Diagnosis, Computer-Assisted Humans Artificial Intelligence Retrospective Studies Female Aged
View on PubMed DOI
Popular Topics
Recent Journals