AIMC Topic: Carotid Artery Diseases
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CACSNet for automatic robust classification and segmentation of carotid artery calcification on panoramic radiographs using a cascaded deep learning network.
Scientific reports
Jun 17, 2024
Stroke is one of the major causes of death worldwide, and is closely associated with atherosclerosis of the carotid artery. Panoramic radiographs (PRs) are routinely used in dental practice, and can be used to visualize carotid artery calcification (...
Deep learning-based fully automatic screening of carotid artery plaques in computed tomography angiography: a multicenter study.
Clinical radiology
May 6, 2024
AIM: To develop and validate a deep learning (DL) algorithm for the automated detection and classification of carotid artery plaques (CAPs) on computed tomography angiography (CTA) images.
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...
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...
Deep Learning
Time Factors
Canada
Predictive Value of Tests
Male
Middle Aged
Risk Assessment
Carotid Intima-Media Thickness
Carotid Arteries
Plaque, Atherosclerotic
Carotid Artery Diseases
Coronary Angiography
Coronary Artery Disease
Heart Disease Risk Factors
Image Interpretation, Computer-Assisted
Humans
Decision Support Techniques
Prognosis
Female
Risk Factors
Aged
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...
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.
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.
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...
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...
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...
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