AIMC Topic: Coronary Artery Disease

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Performance of a deep learning algorithm for the evaluation of CAD-RADS classification with CCTA.

Atherosclerosis Dec 23, 2019
BACKGROUND AND AIMS: Artificial intelligence (AI) is increasing its role in diagnosis of patients with suspicious coronary artery disease. The aim of this manuscript is to develop a deep convolutional neural network (CNN) to classify coronary compute...
Humans Algorithms Retrospective Studies Female Deep Learning Predictive Value of Tests Coronary Angiography Coronary Artery Disease Computed Tomography Angiography Aged Male Middle Aged Severity of Illness Index
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Evaluation of an AI-based, automatic coronary artery calcium scoring software.

European radiology Nov 14, 2019
OBJECTIVES: To evaluate an artificial intelligence (AI)-based, automatic coronary artery calcium (CAC) scoring software, using a semi-automatic software as a reference.
Humans Coronary Artery Disease Calcium Artificial Intelligence Cross-Sectional Studies Coronary Vessels Software Male Statistics, Nonparametric Tomography, X-Ray Computed Middle Aged Female Coronary Angiography
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Evaluation of a Deep Learning-Based Automated CT Coronary Artery Calcium Scoring Algorithm.

JACC. Cardiovascular imaging Nov 13, 2019
Diagnosis, Computer-Assisted Deep Learning Electrocardiography Predictive Value of Tests Aged Male Middle Aged Severity of Illness Index Coronary Vessels Vascular Calcification Computed Tomography Angiography Cardiac-Gated Imaging Techniques Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Automation Retrospective Studies Female Reproducibility of Results Humans Software
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Machine Learning for Pretest Probability of Obstructive Coronary Stenosis in Symptomatic Patients.

JACC. Cardiovascular imaging Nov 13, 2019
Coronary Angiography Coronary Artery Disease Computed Tomography Angiography Coronary Stenosis Middle Aged Severity of Illness Index Diagnosis, Computer-Assisted Predictive Value of Tests Humans Machine Learning Female Reproducibility of Results Male
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Deep Learning Analysis of Coronary Arteries in Cardiac CT Angiography for Detection of Patients Requiring Invasive Coronary Angiography.

IEEE transactions on medical imaging Nov 12, 2019
In patients with obstructive coronary artery disease, the functional significance of a coronary artery stenosis needs to be determined to guide treatment. This is typically established through fractional flow reserve (FFR) measurement, performed duri...
Coronary Artery Disease Coronary Vessels Computed Tomography Angiography Fractional Flow Reserve, Myocardial Deep Learning Humans Predictive Value of Tests Retrospective Studies Coronary Angiography
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Application of machine learning to determine top predictors of noncalcified coronary burden in psoriasis: An observational cohort study.

Journal of the American Academy of Dermatology Oct 31, 2019
BACKGROUND: Psoriasis is associated with elevated risk of heart attack and increased accumulation of subclinical noncalcified coronary burden by coronary computed tomography angiography (CCTA). Machine learning algorithms have been shown to effective...
Risk Assessment Comorbidity Inflammation Psoriasis Risk Factors Humans Adult Machine Learning Male Prospective Studies Middle Aged Tomography, X-Ray Computed Female Obesity Coronary Artery Disease Dyslipidemias Coronary Vessels
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A database for using machine learning and data mining techniques for coronary artery disease diagnosis.

Scientific data Oct 23, 2019
We present the coronary artery disease (CAD) database, a comprehensive resource, comprising 126 papers and 68 datasets relevant to CAD diagnosis, extracted from the scientific literature from 1992 and 2018. These data were collected to help advance r...
Humans Machine Learning Software Internet Databases, Factual Coronary Artery Disease User-Computer Interface Data Mining
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Motion-corrected coronary calcium scores by a convolutional neural network: a robotic simulating study.

European radiology Oct 18, 2019
OBJECTIVE: To classify motion-induced blurred images of calcified coronary plaques so as to correct coronary calcium scores on nontriggered chest CT, using a deep convolutional neural network (CNN) trained by images of motion artifacts.
Coronary Artery Disease Motion Artifacts Coronary Vessels Plaque, Atherosclerotic Vascular Calcification Neural Networks, Computer Algorithms Tomography, X-Ray Computed Robotics Humans
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Deep Learning in Quantitative PET Myocardial Perfusion Imaging: A Study on Cardiovascular Event Prediction.

JACC. Cardiovascular imaging Oct 11, 2019
Humans Prognosis Female Deep Learning Time Factors Predictive Value of Tests Positron Emission Tomography Computed Tomography Myocardial Perfusion Imaging Models, Cardiovascular Coronary Artery Disease Image Interpretation, Computer-Assisted Reproducibility of Results Middle Aged Risk Factors Risk Assessment Aged Disease Progression Male Diagnosis, Computer-Assisted
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Deep Learning in Personalization of Cardiovascular Stents.

Journal of cardiovascular pharmacology and therapeutics Sep 25, 2019
Deep learning (DL) application has demonstrated its enormous potential in accomplishing biomedical tasks, such as vessel segmentation, brain visualization, and speech recognition. This review article has mainly covered recent advances in the principl...
Prosthesis Design Patient Selection Deep Learning Humans Stents Software Predictive Value of Tests Clinical Decision-Making Percutaneous Coronary Intervention Computer-Aided Design Coronary Artery Disease
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