AIMC Topic: Coronary Artery Disease

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Predictors of blood transfusion use in robotic beating-heart totally endoscopic coronary artery bypass with anastomotic connectors.

Journal of cardiac surgery Jul 3, 2019
BACKGROUND: We sought to identify the independent predictors of blood transfusion requirement in robotic beating-heart patients with totally endoscopic coronary artery bypass (TECAB).
Prognosis Retrospective Studies Female Aged Endoscopy Humans Blood Transfusion Operative Time Robotics Coronary Artery Disease Coronary Artery Bypass Male Middle Aged Treatment Outcome Follow-Up Studies Blood Loss, Surgical
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Comparison of Machine Learning Methods With National Cardiovascular Data Registry Models for Prediction of Risk of Bleeding After Percutaneous Coronary Intervention.

JAMA network open Jul 3, 2019
IMPORTANCE: Better prediction of major bleeding after percutaneous coronary intervention (PCI) may improve clinical decisions aimed to reduce bleeding risk. Machine learning techniques, bolstered by better selection of variables, hold promise for enh...
Risk Adjustment Female Comparative Effectiveness Research Aged Clinical Decision Rules Humans Male Machine Learning Models, Statistical Risk Assessment Postoperative Hemorrhage United States Registries Percutaneous Coronary Intervention Coronary Artery Disease
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Leveraging Machine Learning Techniques to Forecast Patient Prognosis After Percutaneous Coronary Intervention.

JACC. Cardiovascular interventions Jun 26, 2019
OBJECTIVES: This study sought to determine whether machine learning can be used to better identify patients at risk for death or congestive heart failure (CHF) rehospitalization after percutaneous coronary intervention (PCI).
Percutaneous Coronary Intervention Coronary Artery Disease Heart Failure Patient Readmission Minnesota Time Factors Hospital Mortality Treatment Outcome Predictive Value of Tests Registries Aged Male Middle Aged Risk Assessment Humans Machine Learning Decision Support Techniques Clinical Decision-Making Female Reproducibility of Results Risk Factors
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Scoring of Coronary Artery Disease Characteristics on Coronary CT Angiograms by Using Machine Learning.

Radiology Jun 25, 2019
Background Coronary CT angiography contains prognostic information but the best method to extract these data remains unknown. Purpose To use machine learning to develop a model of vessel features to discriminate between patients with and without subs...
Adult Male Middle Aged Severity of Illness Index Predictive Value of Tests Risk Factors Aged Aged, 80 and over Young Adult Coronary Angiography Coronary Artery Disease Image Interpretation, Computer-Assisted Coronary Vessels Computed Tomography Angiography Humans Machine Learning Female Reproducibility of Results
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On-Site Computed Tomography-Derived Fractional Flow Reserve Using a Machine-Learning Algorithm　- Clinical Effectiveness in a Retrospective Multicenter Cohort.

Circulation journal : official journal of the Japanese Circulation Society Jun 8, 2019
BACKGROUND: This study evaluated the diagnostic capability of on-site coronary computed tomography-derived computational fractional flow reserve (CT-FFR) determinations for detecting coronary artery disease (CAD), as assessed by invasive fractional f...
Humans Machine Learning Retrospective Studies Female Aged Coronary Artery Disease Computed Tomography Angiography Fractional Flow Reserve, Myocardial Aged, 80 and over Male Middle Aged Coronary Angiography
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Classification of Polar Maps from Cardiac Perfusion Imaging with Graph-Convolutional Neural Networks.

Scientific reports May 20, 2019
Myocardial perfusion imaging is a non-invasive imaging technique commonly used for the diagnosis of Coronary Artery Disease and is based on the injection of radiopharmaceutical tracers into the blood stream. The patient's heart is imaged while at res...
Coronary Artery Disease Myocardial Perfusion Imaging Computer Graphics Humans Neural Networks, Computer Algorithms Image Processing, Computer-Assisted
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Prediction of coronary thin-cap fibroatheroma by intravascular ultrasound-based machine learning.

Atherosclerosis May 4, 2019
BACKGROUND AND AIMS: Although grayscale intravascular ultrasound (IVUS) is commonly used for assessing coronary lesion morphology and optimizing stent implantation, detection of vulnerable plaques by IVUS remains challenging. We aimed to develop mach...
Risk Assessment Disease Progression Diagnosis, Computer-Assisted Predictive Value of Tests Tomography, Optical Coherence Bayes Theorem Ultrasonography, Interventional Coronary Artery Disease Fibrosis Reproducibility of Results Risk Factors Aged Male Middle Aged Humans Coronary Stenosis Neural Networks, Computer Image Interpretation, Computer-Assisted Machine Learning Coronary Vessels Female Rupture, Spontaneous Plaque, Atherosclerotic
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Predicting coronary artery disease: a comparison between two data mining algorithms.

BMC public health Apr 29, 2019
BACKGROUND: Cardiovascular diseases (CADs) are the first leading cause of death across the world. World Health Organization has estimated that morality rate caused by heart diseases will mount to 23 million cases by 2030. Hence, the use of data minin...
Coronary Artery Disease Humans Data Mining Neural Networks, Computer Female Algorithms Sex Factors Socioeconomic Factors Risk Factors Electronic Health Records Support Vector Machine Male Age Factors Middle Aged Predictive Value of Tests ROC Curve
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Advanced atherosclerosis imaging by CT: Radiomics, machine learning and deep learning.

Journal of cardiovascular computed tomography Apr 21, 2019
In the last decade, technical advances in the field of medical imaging significantly improved and broadened the application of coronary CT angiography (CCTA) for the non-invasive assessment of coronary artery disease. Recently, similar breakthroughs ...
Humans Prognosis Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results Severity of Illness Index Coronary Artery Disease Deep Learning Coronary Vessels Predictive Value of Tests Plaque, Atherosclerotic Coronary Angiography Computed Tomography Angiography
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Coronary Calcium Detection Based on Improved Deep Residual Network in Mimics.

Journal of medical systems Mar 25, 2019
Coronary calcium detection in medicine image processing is a hot research topic. According to the low resolution and complex background in medicine image, an improved coronary calcium detection algorithm based on the Single Shot MultiBox Detector (SS...
Tomography, X-Ray Computed Humans Sensitivity and Specificity Neural Networks, Computer Image Processing, Computer-Assisted Machine Learning Calcinosis Algorithms Coronary Artery Disease
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