AIMC Topic: Coronary Vessels

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Artificial Intelligence-Enabled Quantitative Coronary Plaque and Hemodynamic Analysis for Predicting Acute Coronary Syndrome.

JACC. Cardiovascular imaging May 15, 2024
BACKGROUND: A lesion-level risk prediction for acute coronary syndrome (ACS) needs better characterization.
Plaque, Atherosclerotic Computed Tomography Angiography Coronary Circulation Coronary Artery Disease Acute Coronary Syndrome Coronary Vessels Rupture, Spontaneous Multidetector Computed Tomography Aged Male Middle Aged Risk Assessment Severity of Illness Index Hemodynamics Time Factors Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Artificial Intelligence Prognosis Female Reproducibility of Results Risk Factors Humans
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Large-scale 3D non-Cartesian coronary MRI reconstruction using distributed memory-efficient physics-guided deep learning with limited training data.

Magma (New York, N.Y.) May 14, 2024
OBJECT: To enable high-quality physics-guided deep learning (PG-DL) reconstruction of large-scale 3D non-Cartesian coronary MRI by overcoming challenges of hardware limitations and limited training data availability.
Humans Neural Networks, Computer Coronary Vessels Physics Algorithms Deep Learning Imaging, Three-Dimensional Image Processing, Computer-Assisted Magnetic Resonance Imaging
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Real-time coronary artery segmentation in CAG images: A semi-supervised deep learning strategy.

Artificial intelligence in medicine May 9, 2024
BACKGROUND: When treating patients with coronary artery disease and concurrent renal concerns, we often encounter a conundrum: how to achieve a clearer view of vascular details while minimizing the contrast and radiation doses during percutaneous cor...
Humans Deep Learning Coronary Artery Disease Image Processing, Computer-Assisted Supervised Machine Learning Coronary Angiography Coronary Vessels Percutaneous Coronary Intervention
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Evaluation of image quality on low contrast media with deep learning image reconstruction algorithm in prospective ECG-triggering coronary CT angiography.

The international journal of cardiovascular imaging May 9, 2024
To assess the impact of low-dose contrast media (CM) injection protocol with deep learning image reconstruction (DLIR) algorithm on image quality in coronary CT angiography (CCTA). In this prospective study, patients underwent CCTA were prospectively...
Cardiac-Gated Imaging Techniques Heart Rate Coronary Vessels Radiation Dosage Multidetector Computed Tomography Computed Tomography Angiography Aged Contrast Media Male Humans Predictive Value of Tests Middle Aged Prospective Studies Deep Learning Coronary Angiography Female Electrocardiography Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results Coronary Artery Disease
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G2ViT: Graph Neural Network-Guided Vision Transformer Enhanced Network for retinal vessel and coronary angiograph segmentation.

Neural networks : the official journal of the International Neural Network Society May 3, 2024
Blood vessel segmentation is a crucial stage in extracting morphological characteristics of vessels for the clinical diagnosis of fundus and coronary artery disease. However, traditional convolutional neural networks (CNNs) are confined to learning l...
Humans Neural Networks, Computer Algorithms Retinal Vessels Deep Learning Image Processing, Computer-Assisted Coronary Angiography Coronary Artery Disease Coronary Vessels
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Artificial intelligence in coronary artery calcium score: rationale, different approaches, and outcomes.

The international journal of cardiovascular imaging May 3, 2024
Almost 35 years after its introduction, coronary artery calcium score (CACS) not only survived technological advances but became one of the cornerstones of contemporary cardiovascular imaging. Its simplicity and quantitative nature established it as ...
Humans Artificial Intelligence Prognosis Reproducibility of Results Coronary Artery Disease Coronary Vessels Vascular Calcification Computed Tomography Angiography Severity of Illness Index Cardiac-Gated Imaging Techniques Deep Learning Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted
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3D printing of an artificial intelligence-generated patient-specific coronary artery segmentation in a support bath.

Biomedical materials (Bristol, England) Apr 26, 2024
Accurate segmentation of coronary artery tree and personalized 3D printing from medical images is essential for CAD diagnosis and treatment. The current literature on 3D printing relies solely on generic models created with different software or 3D c...
Printing, Three-Dimensional Coronary Angiography Coronary Vessels Alginates Computed Tomography Angiography Humans Artificial Intelligence Software Algorithms Deep Learning Imaging, Three-Dimensional
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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...
Coronary Stenosis Adenosine Computed Tomography Angiography Coronary Circulation Myocardial Perfusion Imaging Male Finland Middle Aged Angina, Unstable Severity of Illness Index Time Factors Retrospective Studies Humans Predictive Value of Tests Female Coronary Angiography Artificial Intelligence Coronary Artery Disease Reproducibility of Results Algorithms Positron-Emission Tomography Risk Factors Prognosis Aged Coronary Vessels Vasodilator Agents
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A comparative analysis of deep learning-based location-adaptive threshold method software against other commercially available software.

The international journal of cardiovascular imaging Apr 18, 2024
Automatic segmentation of the coronary artery using coronary computed tomography angiography (CCTA) images can facilitate several analyses related to coronary artery disease (CAD). Accurate segmentation of the lumen or plaque region is one of the mos...
Coronary Artery Disease Humans Coronary Vessels Deep Learning Plaque, Atherosclerotic Female Software Computed Tomography Angiography Predictive Value of Tests Reproducibility of Results Retrospective Studies Coronary Angiography Aged Ultrasonography, Interventional Male Radiographic Image Interpretation, Computer-Assisted Middle Aged
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Assessment of atherosclerotic plaque burden: comparison of AI-QCT versus SIS, CAC, visual and CAD-RADS stenosis categories.

The international journal of cardiovascular imaging Apr 17, 2024
This study assesses the agreement of Artificial Intelligence-Quantitative Computed Tomography (AI-QCT) with qualitative approaches to atherosclerotic disease burden codified in the multisociety 2022 CAD-RADS 2.0 Expert Consensus. 105 patients who und...
Male Middle Aged Severity of Illness Index Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Observer Variation Coronary Vessels Multidetector Computed Tomography Humans Plaque, Atherosclerotic Artificial Intelligence Vascular Calcification Female Computed Tomography Angiography Reproducibility of Results Coronary Stenosis Aged
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