AIMC Topic: Coronary Vessels

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A plaque recognition algorithm for coronary OCT images by Dense Atrous Convolution and attention mechanism.

PloS one Jun 10, 2025
Currently, plaque segmentation in Optical Coherence Tomography (OCT) images of coronary arteries is primarily carried out manually by physicians, and the accuracy of existing automatic segmentation techniques needs further improvement. To furnish eff...
Image Processing, Computer-Assisted Tomography, Optical Coherence Coronary Artery Disease Coronary Vessels Plaque, Atherosclerotic Humans Algorithms Deep Learning
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Deep learning-based classification of coronary arteries and left ventricle using multimodal data for autonomous protocol selection or adjustment in angiography.

Scientific reports Apr 30, 2025
Optimal selection of X-ray imaging parameters is crucial in coronary angiography and structural cardiac procedures to ensure optimal image quality and minimize radiation exposure. These anatomydependent parameters are organized into customizable orga...
Coronary Vessels Middle Aged Humans Deep Learning Algorithms Image Processing, Computer-Assisted Female Male Coronary Angiography Heart Ventricles
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Fast and automatic coronary artery segmentation using nnU-Net for non-contrast enhanced magnetic resonance coronary angiography.

The international journal of cardiovascular imaging Apr 26, 2025
Non-contrast enhanced magnetic resonance coronary angiography (MRCA) is a promising coronary heart disease screening modality. However, its clinical application is hindered by inherent limitations, including low spatial resolution and insufficient co...
Coronary Artery Disease Image Interpretation, Computer-Assisted Observer Variation Automation Coronary Vessels Deep Learning Time Factors Predictive Value of Tests Coronary Angiography Magnetic Resonance Angiography Computed Tomography Angiography Humans Female Reproducibility of Results Aged Male Middle Aged
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Optimising coronary imaging decisions with machine learning: an external validation study.

Open heart Apr 24, 2025
BACKGROUND: Exclusion of coronary stenosis in individuals with suggestive symptoms is challenging. Cardiac CT or coronary angiography is often used but is inefficient and costly and involves risks. Sex-stratified algorithms based on electronic health...
Male Middle Aged Predictive Value of Tests Coronary Angiography Coronary Artery Disease Netherlands Sex Factors Coronary Vessels Computed Tomography Angiography Coronary Stenosis Retrospective Studies Electronic Health Records Female Reproducibility of Results Aged Humans Machine Learning Algorithms
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Plaque burden improves the detection of ischemic CAD over stenosis from coronary computed tomography angiography.

The international journal of cardiovascular imaging Apr 22, 2025
In symptomatic patients undergoing coronary CTA for suspected coronary artery disease (CAD), we assessed if quantification of plaque burden, in addition to luminal narrowing and clinical risk factors, offers incremental value for the identification o...
Female Reproducibility of Results Risk Factors Aged Male Humans Artificial Intelligence Retrospective Studies Vascular Calcification Computed Tomography Angiography Myocardial Perfusion Imaging Coronary Stenosis Radiographic Image Interpretation, Computer-Assisted Middle Aged Coronary Artery Disease Severity of Illness Index Coronary Vessels Predictive Value of Tests Multidetector Computed Tomography Coronary Angiography Plaque, Atherosclerotic
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AI-enabled opportunistic measurement of liver steatosis in coronary artery calcium scans predicts cardiovascular events and all-cause mortality: an AI-CVD study within the Multi-Ethnic Study of Atherosclerosis (MESA).

BMJ open diabetes research & care Apr 12, 2025
INTRODUCTION: About one-third of adults in the USA have some grade of hepatic steatosis. Coronary artery calcium (CAC) scans contain more information than currently reported. We previously reported new artificial intelligence (AI) algorithms applied ...
Middle Aged Female Humans Atherosclerosis Fatty Liver Artificial Intelligence Risk Factors Calcium United States Algorithms Aged Follow-Up Studies Ethnicity Male Prognosis Coronary Artery Disease Coronary Vessels Cardiovascular Diseases Vascular Calcification
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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...
Coronary Angiography Coronary Vessels Computed Tomography Angiography Coronary Vessel Anomalies Adult Sensitivity and Specificity Male Middle Aged Imaging, Three-Dimensional Humans Artificial Intelligence Female Aged
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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...
Coronary Angiography Registries Coronary Artery Disease Sex Factors Humans Artificial Intelligence Plaque, Atherosclerotic Male Coronary Vessels Prognosis Computed Tomography Angiography Middle Aged Female Risk Assessment Risk Factors Predictive Value of Tests Aged
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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...
Clinical Competence Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Coronary Vessels Humans Aged Male Retrospective Studies Middle Aged Female Deep Learning Reproducibility of Results
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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.
Coronary Artery Disease Humans Automation Computed Tomography Angiography Artificial Intelligence Coronary Vessels Aged Prospective Studies Plaque, Atherosclerotic Male Female Middle Aged Tomography, Optical Coherence Coronary Angiography
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