AI Medical Compendium Journal:
Journal of cardiovascular computed tomography

Showing 21 to 29 of 29 articles

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...
Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Workflow Coronary Vessels Male Middle Aged Severity of Illness Index Predictive Value of Tests Computed Tomography Angiography Coronary Stenosis Fractional Flow Reserve, Myocardial Humans Machine Learning Retrospective Studies Female Reproducibility of Results Aged
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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.
Humans Machine Learning Retrospective Studies Female Multidetector Computed Tomography Plaque, Atherosclerotic Computed Tomography Angiography Coronary Angiography Ultrasonography, Interventional Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Coronary Vessels Reproducibility of Results Aged Male Predictive Value of Tests
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Machine learning in cardiac CT: Basic concepts and contemporary data.

Journal of cardiovascular computed tomography Apr 30, 2018
Propelled by the synergy of the groundbreaking advancements in the ability to analyze high-dimensional datasets and the increasing availability of imaging and clinical data, machine learning (ML) is poised to transform the practice of cardiovascular ...
Computed Tomography Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Coronary Vessels Vascular Calcification Humans Prognosis Machine Learning Algorithms Reproducibility of Results Severity of Illness Index Predictive Value of Tests Coronary Angiography
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Maximization of the usage of coronary CTA derived plaque information using a machine learning based algorithm to improve risk stratification; insights from the CONFIRM registry.

Journal of cardiovascular computed tomography Apr 30, 2018
INTRODUCTION: Machine learning (ML) is a field in computer science that demonstrated to effectively integrate clinical and imaging data for the creation of prognostic scores. The current study investigated whether a ML score, incorporating only the 1...
Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Registries Coronary Artery Disease Myocardial Infarction Time Factors ROC Curve Predictive Value of Tests Area Under Curve Coronary Stenosis Coronary Vessels Multidetector Computed Tomography Plaque, Atherosclerotic Computed Tomography Angiography Prognosis Female Reproducibility of Results Risk Factors Aged Male Middle Aged Risk Assessment Severity of Illness Index Humans Machine Learning Algorithms
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Improved image quality with simultaneously reduced radiation exposure: Knowledge-based iterative model reconstruction algorithms for coronary CT angiography in a clinical setting.

Journal of cardiovascular computed tomography Feb 23, 2017
BACKGROUND: The aim of this study was to assess the potential for radiation dose reduction using knowledge-based iterative model reconstruction (K-IMR) algorithms in combination with ultra-low dose body mass index (BMI)-adapted protocols in coronary ...
Algorithms Female Reproducibility of Results Aged Male Middle Aged Body Mass Index Predictive Value of Tests Coronary Angiography Humans Radiation Exposure Coronary Vessels Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Coronary Artery Disease Signal-To-Noise Ratio Knowledge Bases Multidetector Computed Tomography Germany Computed Tomography Angiography
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Epicardial adipose tissue and myocardial ischemia assessed by computed tomography perfusion imaging and invasive fractional flow reserve.

Journal of cardiovascular computed tomography Dec 30, 2016
BACKGROUND: Epicardial adipose tissue (EAT) is a metabolically active fat depot that is associated with incident coronary artery disease (CAD) and major adverse cardiovascular events. The relationship between EAT and myocardial ischemia remains uncle...
Myocardial Perfusion Imaging Coronary Stenosis Fractional Flow Reserve, Myocardial Pericardium Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Coronary Vessels Aged Humans Male Tomography, X-Ray Computed Middle Aged Female Adipose Tissue Predictive Value of Tests
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Global quantification of left ventricular myocardial perfusion at dynamic CT imaging: Prognostic value.

Journal of cardiovascular computed tomography Dec 28, 2016
BACKGROUND: There is no published data on the prognostic value of global myocardial perfusion values at stress dynamic CT myocardial perfusion imaging (CTMPI).
Myocardial Revascularization Computed Tomography Angiography Coronary Circulation Myocardial Perfusion Imaging Angina, Unstable Middle Aged Risk Factors Myocardial Infarction Risk Assessment Hospitalization Proportional Hazards Models Severity of Illness Index Aged Kaplan-Meier Estimate United States Male Asia Europe Humans Predictive Value of Tests Prognosis Coronary Stenosis Coronary Angiography Retrospective Studies Registries Female Coronary Artery Disease
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Will we soon be replaced by artificial intelligence?

Journal of cardiovascular computed tomography Jan 1, 2023
Humans Artificial Intelligence Predictive Value of Tests
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"I'm [still] not a robot".

Journal of cardiovascular computed tomography Jan 1, 2022
Predictive Value of Tests Robotics Humans
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