AIMC Topic: Coronary Vessels
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AI-based detection and classification of anomalous aortic origin of coronary arteries using coronary CT angiography images.
Nature communications
Apr 1, 2025
Anomalous aortic origin of the coronary artery (AAOCA) is a rare cardiac condition that can lead to ischemia or sudden cardiac death, yet it is often overlooked or falsely classified in routine coronary CT angiography (CCTA). Here, we developed, vali...
AI-Quantitative CT Coronary Plaque Features Associate With a Higher Relative Risk in Women: CONFIRM2 Registry.
Circulation. Cardiovascular imaging
Mar 31, 2025
BACKGROUND: Coronary plaque features are imaging biomarkers of cardiovascular risk, but less is known about sex-specific patterns in their prognostic value. This study aimed to define sex differences in the coronary atherosclerotic phenotypes assesse...
Non-invasive derivation of instantaneous free-wave ratio from invasive coronary angiography using a new deep learning artificial intelligence model and comparison with human operators' performance.
The international journal of cardiovascular imaging
Mar 10, 2025
Invasive coronary physiology is underused and carries risks/costs. Artificial Intelligence (AI) might enable non-invasive physiology from invasive coronary angiography (CAG), possibly outperforming humans, but has seldom been explored, especially for...
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.
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. ...
Humans
Computed Tomography Angiography
Aged
Predictive Value of Tests
Male
Coronary Angiography
Middle Aged
Radiographic Image Interpretation, Computer-Assisted
Artificial Intelligence
Severity of Illness Index
Observer Variation
Coronary Artery Disease
Plaque, Atherosclerotic
Retrospective Studies
Coronary Vessels
Vascular Calcification
Female
Asymptomatic Diseases
Reproducibility of Results
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...
Computed Tomography Angiography
Models, Cardiovascular
Coronary Stenosis
Machine Learning
Humans
Fractional Flow Reserve, Myocardial
Coronary Artery Disease
Coronary Angiography
Reproducibility of Results
Coronary Vessels
Radiographic Image Interpretation, Computer-Assisted
Severity of Illness Index
Hydrodynamics
Predictive Value of Tests
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...
Observer Variation
Humans
Automation
Machine Learning
Coronary Vessels
Retrospective Studies
Coronary Artery Disease
Severity of Illness Index
Reproducibility of Results
Predictive Value of Tests
Prosthesis Design
Female
Treatment Outcome
Aged
Ultrasonography, Interventional
Stents
Male
Percutaneous Coronary Intervention
Image Interpretation, Computer-Assisted
Middle Aged
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 ...
Deep learning based coronary vessels segmentation in X-ray angiography using temporal information.
Medical image analysis
Feb 18, 2025
Invasive coronary angiography (ICA) is the gold standard imaging modality during cardiac interventions. Accurate segmentation of coronary vessels in ICA is required for aiding diagnosis and creating treatment plans. Current automated algorithms for v...
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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