AI Medical Compendium Journal:
Journal of cardiovascular computed tomography

Showing 1 to 10 of 29 articles

Performance of large language models for CAD-RADS 2.0 classification derived from cardiac CT reports.

Journal of cardiovascular computed tomography Apr 9, 2025
BACKGROUND: The Coronary Artery Disease-Reporting and Data System (CAD-RADS) 2.0 offers standardized guidelines for interpreting coronary artery disease in cardiac CT. Accurate and consistent CAD-RADS 2.0 scoring is crucial for comprehensive disease ...
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Machine learning and computational fluid dynamics derived FFRCT demonstrate comparable diagnostic performance in patients with coronary artery disease; A Systematic Review and Meta-Analysis.

Journal of cardiovascular computed tomography Feb 22, 2025
BACKGROUND: As a new noninvasive diagnostic technique, computed tomography-derived fraction flow reserve (FFRCT) has been used to identify hemodynamically significant coronary artery stenosis. FFRCT can be calculated using computational fluid dynamic...
Fractional Flow Reserve, Myocardial Reproducibility of Results Severity of Illness Index Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Humans Coronary Vessels Machine Learning Hydrodynamics Computed Tomography Angiography Models, Cardiovascular Coronary Stenosis
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Prediction of obstructive coronary artery disease using coronary calcification and epicardial adipose tissue assessments from CT calcium scoring scans.

Journal of cardiovascular computed tomography Feb 4, 2025
BACKGROUND: Low-cost/no-cost non-contrast CT calcium scoring (CTCS) exams can provide direct evidence of coronary atherosclerosis. In this study, using features from CTCS images, we developed a novel machine learning model to predict obstructive coro...
Female Reproducibility of Results Risk Factors Aged Male Middle Aged Coronary Artery Disease Humans Coronary Vessels Risk Assessment Machine Learning Vascular Calcification Decision Support Techniques Severity of Illness Index Computed Tomography Angiography Prognosis Pericardium Adipose Tissue Epicardial Adipose Tissue Predictive Value of Tests Coronary Angiography
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Predicting mortality after transcatheter aortic valve replacement using AI-based fully automated left atrioventricular coupling index.

Journal of cardiovascular computed tomography Jan 9, 2025
BACKGROUND: This study aimed to determine whether artificial intelligence (AI)-based automated assessment of left atrioventricular coupling index (LACI) can provide incremental value above other traditional risk factors for predicting mortality among...
Humans Artificial Intelligence Retrospective Studies Ventricular Function, Left Stroke Volume Risk Assessment Severity of Illness Index Time Factors Treatment Outcome Female Risk Factors Aged Aged, 80 and over Male Automation Atrial Function, Left Computed Tomography Angiography Transcatheter Aortic Valve Replacement Aortic Valve Stenosis Aortic Valve Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted
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Energy-integrating detector based ultra-high-resolution CT with deep learning reconstruction for the assessment of calcified lesions in coronary artery disease.

Journal of cardiovascular computed tomography Oct 8, 2024
BACKGROUND: The aim of this study to compare of the image quality of calcified lesions in coronary artery disease between deep learning reconstruction (DLR) and model-based iterative reconstruction (MBIR) on energy-integrating detector (EID) based ul...
Vascular Calcification Phantoms, Imaging Computed Tomography Angiography Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Coronary Vessels Multidetector Computed Tomography Humans Retrospective Studies Female Reproducibility of Results Aged Male Middle Aged Severity of Illness Index Deep Learning Predictive Value of Tests
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Prognostic value of a novel artificial intelligence-based coronary CTA-derived ischemia algorithm among patients with normal or abnormal myocardial perfusion.

Journal of cardiovascular computed tomography Apr 24, 2024
BACKGROUND: Among patients with obstructive coronary artery disease (CAD) on coronary computed tomography angiography (CTA), downstream positron emission tomography (PET) perfusion imaging can be performed to assess the presence of myocardial ischemi...
Risk Factors Aged Male Middle Aged Severity of Illness Index Time Factors Predictive Value of Tests Coronary Angiography Coronary Artery Disease Positron-Emission Tomography Coronary Vessels Artificial Intelligence Algorithms Prognosis Retrospective Studies Female Reproducibility of Results Vasodilator Agents Humans Angina, Unstable Computed Tomography Angiography Coronary Stenosis Coronary Circulation Adenosine Myocardial Perfusion Imaging Finland
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AI-enabled cardiac chambers volumetry in coronary artery calcium scans (AI-CAC) predicts heart failure and outperforms NT-proBNP: The multi-ethnic study of Atherosclerosis.

Journal of cardiovascular computed tomography Apr 24, 2024
INTRODUCTION: Coronary artery calcium (CAC) scans contain useful information beyond the Agatston CAC score that is not currently reported. We recently reported that artificial intelligence (AI)-enabled cardiac chambers volumetry in CAC scans (AI-CAC™...
Computed Tomography Angiography Coronary Artery Disease Heart Failure Prognosis Natriuretic Peptide, Brain Female Multidetector Computed Tomography Reproducibility of Results Vascular Calcification United States Risk Factors Asymptomatic Diseases Predictive Value of Tests Aged Coronary Angiography Aged, 80 and over Peptide Fragments Male Radiographic Image Interpretation, Computer-Assisted Middle Aged Risk Assessment Incidence Time Factors Humans Artificial Intelligence Biomarkers
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Validation of a fully automated deep learning-enabled solution for CCTA atherosclerotic plaque and stenosis quantification in a diverse real-world cohort.

Journal of cardiovascular computed tomography Mar 28, 2024
Coronary Angiography Male Radiographic Image Interpretation, Computer-Assisted Plaque, Atherosclerotic Humans Coronary Artery Disease Computed Tomography Angiography Middle Aged Automation Retrospective Studies Coronary Stenosis Severity of Illness Index Coronary Vessels Female Deep Learning Reproducibility of Results Predictive Value of Tests Aged
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Gated cardiac CT in infants: What can we expect from deep learning image reconstruction algorithm?

Journal of cardiovascular computed tomography Mar 12, 2024
BACKGROUND: ECG-gated cardiac CT is now widely used in infants with congenital heart disease (CHD). Deep Learning Image Reconstruction (DLIR) could improve image quality while minimizing the radiation dose.
Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Heart Defects, Congenital Phantoms, Imaging Computed Tomography Angiography Radiation Exposure Deep Learning Electrocardiography Age Factors Predictive Value of Tests Coronary Angiography Humans Reproducibility of Results Infant Cardiac-Gated Imaging Techniques
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Natural language processing to phenotype coronary computed tomography angiography: Development, validation, and initial results of a large multi-institution cohort.

Journal of cardiovascular computed tomography Mar 7, 2024
Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Coronary Vessels Computed Tomography Angiography Aged Humans Male Phenotype Middle Aged Female Predictive Value of Tests Reproducibility of Results Natural Language Processing Coronary Angiography
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