AIMC Topic: Vascular Calcification
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AI-Defined Cardiac Anatomy Improves Risk Stratification of Hybrid Perfusion Imaging.
JACC. Cardiovascular imaging
Mar 6, 2024
BACKGROUND: Computed tomography attenuation correction (CTAC) improves perfusion quantification of hybrid myocardial perfusion imaging by correcting for attenuation artifacts. Artificial intelligence (AI) can automatically measure coronary artery cal...
Middle Aged
Risk Assessment
Time Factors
Predictive Value of Tests
Reproducibility of Results
Risk Factors
Aged
Male
Prognosis
Vascular Calcification
Retrospective Studies
Computed Tomography Angiography
Female
Coronary Circulation
Humans
Myocardial Perfusion Imaging
Artificial Intelligence
Single Photon Emission Computed Tomography Computed Tomography
Coronary Angiography
Radiographic Image Interpretation, Computer-Assisted
Coronary Artery Disease
Coronary Vessels
Machine learning-based coronary artery calcium score predicted from clinical variables as a prognostic indicator in patients referred for invasive coronary angiography.
European radiology
Feb 10, 2024
OBJECTIVES: Utilising readily available clinical variables, we aimed to develop and validate a novel machine learning (ML) model to predict severe coronary calcification, and further assessed its prognostic significance.
Deep learning-based prediction of coronary artery calcium scoring in hemodialysis patients using radial artery calcification.
Seminars in dialysis
Jan 4, 2024
OBJECTIVE: This study used random forest model to explore the feasibility of radial artery calcification in prediction of coronary artery calcification in hemodialysis patients.
CT analysis of aortic calcifications to predict abdominal aortic aneurysm rupture.
European radiology
Nov 24, 2023
BACKGROUND: Abdominal aortic aneurysm (AAA) rupture prediction based on sex and diameter could be improved. The goal was to assess whether aortic calcification distribution could better predict AAA rupture through machine learning and LASSO regressio...
Feasibility and limitations of deep learning-based coronary calcium scoring in PET-CT: a comparison with coronary calcium score CT.
European radiology
Nov 14, 2023
OBJECTIVE: This study aimed to determine the feasibility and limitations of deep learning-based coronary calcium scoring using positron emission tomography-computed tomography (PET-CT) in comparison with coronary calcium scoring using ECG-gated non-c...
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.
Prediction of Coronary Artery Calcium Using Deep Learning of Echocardiograms.
Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography
Dec 23, 2022
BACKGROUND: Coronary artery calcification (CAC), often assessed by computed tomography (CT), is a powerful marker of coronary artery disease that can guide preventive therapies. Computed tomographies, however, are not always accessible or serially ob...
Deep Learning-Assisted Repurposing of Plant Compounds for Treating Vascular Calcification: An In Silico Study with Experimental Validation.
Oxidative medicine and cellular longevity
Jan 5, 2022
BACKGROUND: Vascular calcification (VC) constitutes subclinical vascular burden and increases cardiovascular mortality. Effective therapeutics for VC remains to be procured. We aimed to use a deep learning-based strategy to screen and uncover plant c...
Calcium Scoring at Coronary CT Angiography Using Deep Learning.
Radiology
Nov 23, 2021
Background Separate noncontrast CT to quantify the coronary artery calcium (CAC) score often precedes coronary CT angiography (CTA). Quantifying CAC scores directly at CTA would eliminate the additional radiation produced at CT but remains challengin...
A Self-Representation-Based Fuzzy SVM Model for Predicting Vascular Calcification of Hemodialysis Patients.
Computational and mathematical methods in medicine
Jul 27, 2021
In end-stage renal disease (ESRD), vascular calcification risk factors are essential for the survival of hemodialysis patients. To effectively assess the level of vascular calcification, the machine learning algorithm can be used to predict the vascu...
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