AIMC Topic: Carotid Artery Diseases

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Radiomics and artificial intelligence: General notions and applications in the carotid vulnerable plaque.

European journal of radiology May 6, 2024
Carotid atherosclerosis plays a substantial role in cardiovascular morbidity and mortality. Given the multifaceted impact of this disease, there has been increasing interest in harnessing artificial intelligence (AI) and radiomics as complementary to...
Radiomics Image Interpretation, Computer-Assisted Plaque, Atherosclerotic Carotid Artery Diseases Humans Artificial Intelligence
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Deep learning approach for cardiovascular disease risk stratification and survival analysis on a Canadian cohort.

The international journal of cardiovascular imaging Apr 28, 2024
The quantification of carotid plaque has been routinely used to predict cardiovascular risk in cardiovascular disease (CVD) and coronary artery disease (CAD). To determine how well carotid plaque features predict the likelihood of CAD and cardiovascu...
Heart Disease Risk Factors Image Interpretation, Computer-Assisted Carotid Intima-Media Thickness Carotid Arteries Canada Predictive Value of Tests Coronary Angiography Coronary Artery Disease Plaque, Atherosclerotic Carotid Artery Diseases Female Risk Factors Aged Male Middle Aged Risk Assessment Deep Learning Humans Time Factors Decision Support Techniques Prognosis
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Machine learning detects symptomatic patients with carotid plaques based on 6-type calcium configuration classification on CT angiography.

European radiology Nov 20, 2023
OBJECTIVES: While the link between carotid plaque composition and cerebrovascular vascular (CVE) events is recognized, the role of calcium configuration remains unclear. This study aimed to develop and validate a CT angiography (CTA)-based machine le...
Humans Aged, 80 and over Male Middle Aged Calcium Machine Learning Retrospective Studies Female Aged Carotid Artery Diseases Plaque, Atherosclerotic Computed Tomography Angiography Carotid Stenosis
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Detection of extracranial and intracranial calcified carotid artery atheromas in cone beam computed tomography using a deep learning convolutional neural network image segmentation approach.

Oral surgery, oral medicine, oral pathology and oral radiology Aug 17, 2023
OBJECTIVE: We leveraged an artificial intelligence deep-learning convolutional neural network (DL CNN) to detect calcified carotid artery atheromas (CCAAs) on cone beam computed tomography (CBCT) images.
Radiographic Image Interpretation, Computer-Assisted Plaque, Atherosclerotic Carotid Artery Diseases Middle Aged Deep Learning Cone-Beam Computed Tomography Humans Neural Networks, Computer Female Aged Male
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Can convolutional neural networks identify external carotid artery calcifications?

Oral surgery, oral medicine, oral pathology and oral radiology Apr 20, 2023
OBJECTIVE: We developed and evaluated the accuracy and reliability of a convolutional neural network (CNN) in detecting external carotid artery calcifications (ECACs) in cone beam computed tomography scans.
Vascular Calcification Carotid Artery, External Carotid Artery Diseases Middle Aged Cone-Beam Computed Tomography Calcinosis Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results Aged Male Humans Neural Networks, Computer Female
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Deep learning artificial intelligence framework for multiclass coronary artery disease prediction using combination of conventional risk factors, carotid ultrasound, and intraplaque neovascularization.

Computers in biology and medicine Sep 10, 2022
OBJECTIVE: Cardiovascular disease (CVD) is a major healthcare challenge and therefore early risk assessment is vital. Previous assessment techniques use either "conventional CVD risk calculators (CCVRC)" or machine learning (ML) paradigms. These tech...
Coronary Artery Disease Carotid Arteries Plaque, Atherosclerotic Cardiovascular Diseases Carotid Artery Diseases Humans Risk Assessment Ultrasonography, Carotid Arteries Artificial Intelligence Deep Learning Risk Factors Ultrasonography
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A Systematic Review and Bibliometric Analysis of Applications of Artificial Intelligence and Machine Learning in Vascular Surgery.

Annals of vascular surgery Mar 24, 2022
BACKGROUND: Artificial intelligence (AI) and machine learning (ML) have seen increasingly intimate integration with medicine and healthcare in the last 2 decades. The objective of this study was to summarize all current applications of AI and ML in t...
Humans Artificial Intelligence Machine Learning Treatment Outcome Bibliometrics Vascular Surgical Procedures Carotid Artery Diseases
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Machine learning models for screening carotid atherosclerosis in asymptomatic adults.

Scientific reports Nov 15, 2021
Carotid atherosclerosis (CAS) is a risk factor for cardiovascular and cerebrovascular events, but duplex ultrasonography isn't recommended in routine screening for asymptomatic populations according to medical guidelines. We aim to develop machine le...
Carotid Artery Diseases Mass Screening Biomarkers Support Vector Machine Female Disease Susceptibility Middle Aged Humans Aged Asymptomatic Diseases ROC Curve Male Machine Learning Models, Theoretical
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Deep Learning-Based Carotid Plaque Segmentation from B-Mode Ultrasound Images.

Ultrasound in medicine & biology Jul 1, 2021
Carotid ultrasound measurement of total plaque area (TPA) provides a method for quantifying carotid plaque burden and monitoring changes in carotid atherosclerosis in response to medical treatment. Plaque boundary segmentation is required to generate...
Humans Deep Learning Plaque, Atherosclerotic Ultrasonography Carotid Artery Diseases Carotid Arteries
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Leveraging Machine Learning and Artificial Intelligence to Improve Peripheral Artery Disease Detection, Treatment, and Outcomes.

Circulation research Jun 10, 2021
Peripheral artery disease is an atherosclerotic disorder which, when present, portends poor patient outcomes. Low diagnosis rates perpetuate poor management, leading to limb loss and excess rates of cardiovascular morbidity and death. Machine learnin...
Aortic Aneurysm Behavior Therapy Carotid Artery Diseases Risk Assessment Humans Algorithms Atherosclerosis Artificial Intelligence Supervised Machine Learning Treatment Outcome Forecasting Machine Learning Image Interpretation, Computer-Assisted Peripheral Arterial Disease Phenotype Life Style Natural Language Processing Prognosis
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