AIMC Topic: Carotid Stenosis

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Identification of key genes and regulatory networks associated with atherosclerotic carotid artery stenosis through comprehensive bioinformatics analysis and machine learning.

European journal of medical research Nov 4, 2025
OBJECTIVE: To identify the potential diagnostic biomarkers and therapeutic targets of atherosclerotic carotid artery stenosis (ACAS), a comprehensive bioinformatics analysis was conducted to identify its related key genes and regulatory networks.
Humans Gene Regulatory Networks Computational Biology Atherosclerosis Carotid Stenosis Machine Learning Gene Expression Profiling Protein Interaction Maps
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Automatic generation and risk stratification of carotid plaque in virtual shear wave elastography using a generative adversarial network.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jul 18, 2025
Shear wave elastography (SWE) is an effective ultrasound imaging technique for assessing carotid plaque vulnerability. However, acquiring SWE images typically requires costly specialized equipment and must be performed by experienced radiologists, wh...
Carotid Stenosis Elasticity Imaging Techniques Carotid Artery Diseases Generative Adversarial Networks Risk Assessment Carotid Arteries Plaque, Atherosclerotic Humans Neural Networks, Computer Male Middle Aged Female Aged
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SML-Net: Semi-supervised multi-task learning network for carotid plaque segmentation and classification.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jul 16, 2025
Carotid ultrasound image segmentation and classification are crucial in assessing the severity of carotid plaques which serve as a major cause of ischemic stroke. Although many methods are employed for carotid plaque segmentation and classification, ...
Ultrasonography Supervised Machine Learning Image Interpretation, Computer-Assisted Carotid Arteries Humans Neural Networks, Computer Algorithms Plaque, Atherosclerotic Carotid Stenosis
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FeaCL: Carotid plaque classification from ultrasound images using feature-level and instance-level contrast learning.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jun 24, 2025
The classification of carotid plaques from ultrasound images in clinical application is crucial for predicting patient risks of cardiovascular and cerebrovascular diseases, as well as for developing appropriate treatment strategies. Although the effe...
Carotid Arteries Plaque, Atherosclerotic Humans Carotid Stenosis Deep Learning Ultrasonography Image Interpretation, Computer-Assisted
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Expanding point cloud statistical shape model applications: Generalized vascular modeling for population-level hemodynamic simulations.

Computer methods and programs in biomedicine Jun 23, 2025
BACKGROUND AND OBJECTIVE: Population-scale hemodynamic research faces limitations due to the trade-off between computationally expensive patient-specific Computational Fluid Dynamics (CFD) and overly idealized cylindrical models. To overcome this, we...
Principal Component Analysis Magnetic Resonance Angiography Hydrodynamics Models, Cardiovascular Carotid Artery, Internal Carotid Stenosis Computer Simulation Cluster Analysis Humans Hemodynamics Models, Statistical
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Combining artificial intelligence assisted image segmentation and ultrasound based radiomics for the prediction of carotid plaque stability.

BMC medical imaging Mar 17, 2025
PURPOSE: Utilizing artificial intelligence (AI) technology for the segmentation of plaques on ultrasound images to evaluate the stability of carotid artery plaques and analyze its diagnostic accuracy in differentiating vulnerable plaques from stable ...
Humans Artificial Intelligence Retrospective Studies Sensitivity and Specificity Radiomics Female Aged Plaque, Atherosclerotic Support Vector Machine Male Ultrasonography, Doppler, Color Image Interpretation, Computer-Assisted Ischemic Stroke Middle Aged Carotid Stenosis Carotid Arteries ROC Curve
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Real time artificial intelligence assisted carotid artery stenting: a preliminary experience.

Journal of neurointerventional surgery Mar 17, 2025
BACKGROUND: Neurointerventionalists must pay close attention to multiple devices on multiple screens simultaneously, which can lead to oversights and complications. Artificial intelligence (AI) has potential application in recognizing and monitoring ...
Carotid Stenosis Middle Aged Stents Software Endovascular Procedures Humans Aged Female Artificial Intelligence Aged, 80 and over Male
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Varying pixel resolution significantly improves deep learning-based carotid plaque histology segmentation.

Scientific reports Jan 2, 2025
Carotid plaques-the buildup of cholesterol, calcium, cellular debris, and fibrous tissues in carotid arteries-can rupture, release microemboli into the cerebral vasculature and cause strokes. The likelihood of a plaque rupturing is thought to be asso...
Carotid Arteries Plaque, Atherosclerotic Carotid Stenosis Humans Neural Networks, Computer Carotid Artery Diseases Deep Learning Image Processing, Computer-Assisted
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Predictive Factors Driving Positive Awake Test in Carotid Endarterectomy Using Machine Learning.

Annals of vascular surgery Nov 22, 2024
BACKGROUND: Positive neurologic awake testing during the carotid cross-clamping may be present in around 8% of patients undergoing carotid endarterectomy (CEA). The present work aimed to assess the accuracy of an artificial intelligence (AI)-powered ...
Middle Aged Risk Assessment Case-Control Studies Intraoperative Neurophysiological Monitoring Aged Aged, 80 and over Male Carotid Stenosis Neurologic Examination Endarterectomy, Carotid Treatment Outcome Humans Reproducibility of Results Predictive Value of Tests Machine Learning Risk Factors Wakefulness Decision Support Techniques Retrospective Studies Female
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Advancing Vascular Surgery: The Role Of Artificial Intelligence And Machine Learning In Managing Carotid Stenosis.

Portuguese journal of cardiac thoracic and vascular surgery Oct 12, 2024
INTRODUCTION: Cardiovascular diseases affect 17.7 million people annually, worldwide. Carotid degenerative disease, commonly described as atherosclerotic plaque accumulation, significantly contributes to this, posing a risk for cerebrovascular events...
Risk Assessment Humans Carotid Stenosis Artificial Intelligence Endarterectomy, Carotid Machine Learning
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