AIMC Topic: Aortic Aneurysm

Clear Filters Showing 11 to 20 of 25 articles

A Deep Learning Approach to Visualize Aortic Aneurysm Morphology Without the Use of Intravenous Contrast Agents.

Annals of surgery Jan 10, 2023
BACKGROUND: Intravenous contrast agents are routinely used in CT imaging to enable the visualization of intravascular pathology, such as with abdominal aortic aneurysms. However, the injection is contraindicated in patients with iodine allergy and is...
Deep Learning Contrast Media Aortic Aneurysm, Abdominal Administration, Intravenous Aortic Aneurysm Humans
View on PubMed DOI

Commentary: Can we crack the black box of machine learning for aortic aneurysms?

The Journal of thoracic and cardiovascular surgery Dec 27, 2021
Humans Machine Learning Aortic Aneurysm
View on PubMed DOI

Deep learning enables genetic analysis of the human thoracic aorta.

Nature genetics Nov 26, 2021
Enlargement or aneurysm of the aorta predisposes to dissection, an important cause of sudden death. We trained a deep learning model to evaluate the dimensions of the ascending and descending thoracic aorta in 4.6 million cardiac magnetic resonance i...
Aorta, Thoracic Quantitative Trait Loci Aortic Aneurysm Biological Variation, Population Humans Deep Learning Female Genome-Wide Association Study Aged Image Processing, Computer-Assisted Adult Magnetic Resonance Imaging Male Middle Aged Transcriptome
View on PubMed DOI

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...
Humans Phenotype Prognosis Risk Assessment Treatment Outcome Artificial Intelligence Machine Learning Algorithms Forecasting Carotid Artery Diseases Image Interpretation, Computer-Assisted Life Style Aortic Aneurysm Peripheral Arterial Disease Behavior Therapy Natural Language Processing Atherosclerosis Supervised Machine Learning
View on PubMed DOI

A Deep Learning Pipeline to Automate High-Resolution Arterial Segmentation With or Without Intravenous Contrast.

Annals of surgery Nov 23, 2020
BACKGROUND: Existing methods to reconstruct vascular structures from a computerized tomography (CT) angiogram rely on contrast injection to enhance the radio-density within the vessel lumen. However, pathological changes in the vasculature may be pre...
Deep Learning Aorta Aortic Aneurysm Humans Tomography, X-Ray Computed
View on PubMed DOI

Deep Learning and Multivariable Models Select EVAR Patients for Short-Stay Discharge.

Vascular and endovascular surgery Sep 10, 2020
OBJECTIVES: We sought to develop a prediction score with data from the Vascular Quality Initiative (VQI) EVAR in efforts to assist endovascular specialists in deciding whether or not a patient is appropriate for short-stay discharge.
Health Services Research Aortic Aneurysm Smartphone Mobile Applications Treatment Outcome Patient Discharge Patient Selection Multivariate Analysis Endovascular Procedures Enhanced Recovery After Surgery Risk Assessment Humans Deep Learning Risk Factors Decision Support Techniques Length of Stay Aged Databases, Factual Time Factors Aged, 80 and over Clinical Decision-Making Male Female
View on PubMed DOI

Fully automatic segmentation of type B aortic dissection from CTA images enabled by deep learning.

European journal of radiology Oct 17, 2019
PURPOSE: This study sought to establish a robust and fully automated Type B aortic dissection (TBAD) segmentation method by leveraging the emerging deep learning techniques.
Humans Retrospective Studies Female Aorta Computed Tomography Angiography Aortic Aneurysm Middle Aged Deep Learning Image Interpretation, Computer-Assisted Aortic Dissection Aged Aged, 80 and over Adult Male
View on PubMed DOI

Machine-learning phenotypic classification of bicuspid aortopathy.

The Journal of thoracic and cardiovascular surgery Sep 14, 2017
BACKGROUND: Bicuspid aortic valves (BAV) are associated with incompletely characterized aortopathy. Our objectives were to identify distinct patterns of aortopathy using machine-learning methods and characterize their association with valve morpholog...
Aorta, Thoracic Computed Tomography Angiography Aortic Aneurysm Aortography Sinus of Valsalva Humans Aortic Valve Insufficiency Machine Learning Bicuspid Aortic Valve Disease Phenotype Heart Valve Diseases Cross-Sectional Studies Pattern Recognition, Automated Female Aortic Valve Stenosis Male Aortic Valve Reproducibility of Results Middle Aged Predictive Value of Tests Aged Diagnosis, Computer-Assisted Radiographic Image Interpretation, Computer-Assisted Adult
View on PubMed DOI

Feature selection through validation and un-censoring of endovascular repair survival data for predicting the risk of re-intervention.

BMC medical informatics and decision making Aug 3, 2017
BACKGROUND: Feature selection (FS) process is essential in the medical area as it reduces the effort and time needed for physicians to measure unnecessary features. Choosing useful variables is a difficult task with the presence of censoring which is...
Aortic Aneurysm Survival Analysis Endovascular Procedures Risk Reoperation Neural Networks, Computer Humans Machine Learning Algorithms Prognosis
View on PubMed DOI

A machine learning approach to investigate the relationship between shape features and numerically predicted risk of ascending aortic aneurysm.

Biomechanics and modeling in mechanobiology Apr 6, 2017
Geometric features of the aorta are linked to patient risk of rupture in the clinical decision to electively repair an ascending aortic aneurysm (AsAA). Previous approaches have focused on relationship between intuitive geometric features (e.g., diam...
Finite Element Analysis Imaging, Three-Dimensional Aortic Aneurysm Humans Models, Statistical Numerical Analysis, Computer-Assisted Machine Learning Regression Analysis Computer Simulation Risk Tomography, X-Ray Computed
View on PubMed DOI
Popular Topics
Recent Journals