AIMC Topic: Coronary Artery Disease
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Artificial intelligence driven plaque characterization and functional assessment from CCTA using OCT-based automation: A prospective study.
International journal of cardiology
Mar 9, 2025
BACKGROUND: We aimed to develop and validate an Artificial Intelligence (AI) model that leverages CCTA and optical coherence tomography (OCT) images for automated analysis of plaque characteristics and coronary function.
Feasibility exploration of myocardial blood flow synthesis from a simulated static myocardial computed tomography perfusion via a deep neural network.
Journal of X-ray science and technology
Mar 3, 2025
BACKGROUND:  Myocardial blood flow (MBF) provides important diagnostic information for myocardial ischemia. However, dynamic computed tomography perfusion (CTP) needed for MBF involves multiple exposures, leading to high radiation doses.
Artificial intelligence quantification and experienced reader computed tomography analysis for differentiating normal from minimally and mildly diseased coronary arteries: an early real-world compatibility study.
The international journal of cardiovascular imaging
Feb 28, 2025
Differentiating normal from minimally and mildly diseased coronary arteries on coronary computed tomographic angiography (CCTA) is crucial, impacting treatment decisions due to the extremely low coronary artery event risk associated with the former. ...
Asymptomatic Diseases
Computed Tomography Angiography
Reproducibility of Results
Observer Variation
Aged
Coronary Vessels
Male
Plaque, Atherosclerotic
Middle Aged
Humans
Vascular Calcification
Coronary Angiography
Artificial Intelligence
Severity of Illness Index
Radiographic Image Interpretation, Computer-Assisted
Retrospective Studies
Predictive Value of Tests
Coronary Artery Disease
Female
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...
Coronary Vessels
Predictive Value of Tests
Humans
Hydrodynamics
Coronary Angiography
Machine Learning
Coronary Stenosis
Computed Tomography Angiography
Radiographic Image Interpretation, Computer-Assisted
Reproducibility of Results
Fractional Flow Reserve, Myocardial
Models, Cardiovascular
Coronary Artery Disease
Severity of Illness Index
Machine Learning in Intravascular Ultrasound: Validating Automated Lesion Assessment for Complex Coronary Interventions.
Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions
Feb 21, 2025
BACKGROUND: Intravascular ultrasound (IVUS) is essential for assessing complex coronary lesions, but remains underutilized in part due to difficulties in image interpretation. The AVVIGO IVUS Automated Lesion Assessment (ALA) software, which uses mac...
Middle Aged
Severity of Illness Index
Treatment Outcome
Humans
Predictive Value of Tests
Machine Learning
Female
Retrospective Studies
Stents
Reproducibility of Results
Ultrasonography, Interventional
Image Interpretation, Computer-Assisted
Aged
Observer Variation
Percutaneous Coronary Intervention
Male
Coronary Artery Disease
Automation
Prosthesis Design
Coronary Vessels
Artificial intelligence-powered coronary artery disease diagnosis from SPECT myocardial perfusion imaging: a comprehensive deep learning study.
European journal of nuclear medicine and molecular imaging
Feb 20, 2025
BACKGROUND: Myocardial perfusion imaging (MPI) using single-photon emission computed tomography (SPECT) is a well-established modality for noninvasive diagnostic assessment of coronary artery disease (CAD). However, the time-consuming and experience-...
Automated Coronary Artery Segmentation with 3D PSPNET using Global Processing and Patch Based Methods on CCTA Images.
Cardiovascular engineering and technology
Feb 20, 2025
The prevalence of coronary artery disease (CAD) has become the major cause of death across the world in recent years. The accurate segmentation of coronary artery is important in clinical diagnosis and treatment of coronary artery disease (CAD) such ...
Identification of biomarkers associated with phagocytosis regulatory factors in coronary artery disease using machine learning and network analysis.
Mammalian genome : official journal of the International Mammalian Genome Society
Feb 14, 2025
BACKGROUND: Coronary artery disease (CAD) is the leading cause of death worldwide, and aberrant phagocytosis may be involved in its development. Understanding this aspect may provide new avenues for prompt CAD diagnosis.
Humans
Machine Learning
Biomarkers
Gene Expression Profiling
Transcription Factors
Databases, Genetic
MicroRNAs
Interleukin-1beta
Coronary Artery Disease
Protein Interaction Maps
Gene Regulatory Networks
Polymorphism, Single Nucleotide
Computational Biology
Phagocytosis
Receptors, IgG
Toll-Like Receptor 2
Syk Kinase
Predicting low density lipoprotein cholesterol target attainment using machine learning in patients with coronary artery disease receiving moderate-dose statin therapy.
Scientific reports
Feb 13, 2025
Low-density lipoprotein cholesterol (LDL-C) is an important factor in the development of cardiovascular disease, making its management a key aspect of cardiovascular health. While high-dose statin therapy is often recommended for LDL-C reduction, car...
TQGDNet: Coronary artery calcium deposit detection on computed tomography.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Feb 6, 2025
Coronary artery disease (CAD) continues to be a leading global cause of cardiovascular related mortality. The scoring of coronary artery calcium (CAC) using computer tomography (CT) images is a diagnostic instrument for evaluating the risk of asympto...
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