AIMC Topic: Coronary Vessels

Clear Filters Showing 151 to 160 of 263 articles

Non-Rigid Respiratory Motion Estimation of Whole-Heart Coronary MR Images Using Unsupervised Deep Learning.

IEEE transactions on medical imaging Dec 29, 2020
Non-rigid motion-corrected reconstruction has been proposed to account for the complex motion of the heart in free-breathing 3D coronary magnetic resonance angiography (CMRA). This reconstruction framework requires efficient and accurate estimation o...
Coronary Angiography Heart Motion Coronary Vessels Magnetic Resonance Angiography Humans Deep Learning Imaging, Three-Dimensional Image Processing, Computer-Assisted
View on PubMed DOI

Artificial Intelligence in Coronary Computed Tomography Angiography: From Anatomy to Prognosis.

BioMed research international Dec 16, 2020
Cardiac computed tomography angiography (CCTA) is widely used as a diagnostic tool for evaluation of coronary artery disease (CAD). Despite the excellent capability to rule-out CAD, CCTA may overestimate the degree of stenosis; furthermore, CCTA anal...
Coronary Stenosis Fractional Flow Reserve, Myocardial Image Processing, Computer-Assisted Phenotype Myocardial Ischemia Coronary Artery Disease Humans Prognosis Risk Artificial Intelligence Calcium Middle Aged Plaque, Atherosclerotic Machine Learning Coronary Vessels Diagnosis, Computer-Assisted Computed Tomography Angiography Algorithms
View on PubMed DOI

Artificial intelligence algorithm for detecting myocardial infarction using six-lead electrocardiography.

Scientific reports Nov 24, 2020
Rapid diagnosis of myocardial infarction (MI) using electrocardiography (ECG) is the cornerstone of effective treatment and prevention of mortality; however, conventional interpretation methods has low reliability for detecting MI and is difficulty t...
Middle Aged Deep Learning Artificial Intelligence Electrocardiography Algorithms Myocardial Infarction Female Humans Male Coronary Vessels
View on PubMed DOI

Predicting High Coronary Artery Calcium Score From Retinal Fundus Images With Deep Learning Algorithms.

Translational vision science & technology Nov 11, 2020
PURPOSE: To evaluate high accumulation of coronary artery calcium (CAC) from retinal fundus images with deep learning technologies as an inexpensive and radiation-free screening method.
Tomography, X-Ray Computed Deep Learning Fundus Oculi Coronary Vessels Humans Algorithms
View on PubMed DOI

Automatic stenosis recognition from coronary angiography using convolutional neural networks.

Computer methods and programs in biomedicine Nov 2, 2020
BACKGROUND AND OBJECTIVE: Coronary artery disease, which is mostly caused by atherosclerotic narrowing of the coronary artery lumen, is a leading cause of death. Coronary angiography is the standard method to estimate the severity of coronary artery ...
Coronary Vessels Coronary Stenosis Neural Networks, Computer Coronary Angiography Constriction, Pathologic Humans
View on PubMed DOI

Early Feasibility of Automated Artificial Intelligence Angiography Based Fractional Flow Reserve Estimation.

The American journal of cardiology Oct 13, 2020
Despite the evidence of improved patients' outcome, fractional flow reserve (FFR) is underused in current everyday practice. We aimed to evaluate the feasibility of a novel automated artificial intelligence angiography-based FFR software (AutocathFFR...
Humans Artificial Intelligence Time Factors ROC Curve Predictive Value of Tests Coronary Angiography Coronary Artery Disease Prospective Studies Female Male Middle Aged Feasibility Studies Coronary Vessels Fractional Flow Reserve, Myocardial
View on PubMed DOI

Effect of vessel wall segmentation on volumetric and radiomic parameters of coronary plaques with adverse characteristics.

Journal of cardiovascular computed tomography Aug 10, 2020
BACKGROUND: Quantitative coronary plaque parameters are increasingly being utilized as surrogate endpoints of pharmaceutical trials. However, little is known whether differences in segmentation significantly alter parameter values.
Vascular Calcification Computed Tomography Angiography Coronary Artery Disease Observer Variation Coronary Vessels Plaque, Atherosclerotic Aged Male Middle Aged Severity of Illness Index Clinical Competence Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Machine Learning Retrospective Studies Female Humans Reproducibility of Results
View on PubMed DOI

Using machine learning algorithms to review computed tomography scans and assess risk for cardiovascular disease: Retrospective analysis from the National Lung Screening Trial (NLST).

PloS one Aug 3, 2020
BACKGROUND: The National Lung Screening Trial (NLST) demonstrated that annual screening with low dose CT in high-risk population was associated with reduction in lung cancer mortality. Nonetheless, the leading cause of mortality in the study was from...
Retrospective Studies Lung Emphysema Tomography, X-Ray Computed Lung Neoplasms Humans Fatty Liver Male Female Cigarette Smoking Machine Learning United States Risk Factors Cardiovascular Diseases Coronary Vessels Early Detection of Cancer Middle Aged Mass Screening Clinical Trials, Phase III as Topic Liver Risk Assessment Randomized Controlled Trials as Topic Radiographic Image Interpretation, Computer-Assisted National Cancer Institute (U.S.)
View on PubMed DOI

Using intravascular ultrasound image-based fluid-structure interaction models and machine learning methods to predict human coronary plaque vulnerability change.

Computer methods in biomechanics and biomedical engineering Jul 22, 2020
Plaque vulnerability prediction is of great importance in cardiovascular research. In vivo follow-up intravascular ultrasound (IVUS) coronary plaque data were acquired from nine patients to construct fluid-structure interaction models to obtain plaqu...
Coronary Vessels Plaque, Atherosclerotic Models, Cardiovascular Female Middle Aged Coronary Angiography Humans Ultrasonography Risk Factors Ultrasonography, Interventional Support Vector Machine Machine Learning ROC Curve Biomechanical Phenomena Linear Models Area Under Curve Imaging, Three-Dimensional Male
View on PubMed DOI

Deep learning analysis in coronary computed tomographic angiography imaging for the assessment of patients with coronary artery stenosis.

Computer methods and programs in biomedicine Jul 9, 2020
BACKGROUND AND OBJECTIVE: Recently, deep convolutional neural network has significantly improved image classification and image segmentation. If coronary artery disease (CAD) can be diagnosed through machine learning and deep learning, it will signif...
Humans Artificial Intelligence Retrospective Studies Predictive Value of Tests Coronary Angiography Coronary Artery Disease Tomography, X-Ray Computed Deep Learning Coronary Vessels Coronary Stenosis
View on PubMed DOI
Popular Topics
Recent Journals