AIMC Topic: Aortic Aneurysm

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Artificial Intelligence-Assisted Sac Diameter Assessment for Complex Endovascular Aortic Repair.

Journal of endovascular therapy : an official journal of the International Society of Endovascular Specialists Oct 30, 2023
PURPOSE: Artificial intelligence (AI) using an automated, deep learning-based method, Augmented Radiology for Vascular Aneurysm (ARVA), has been verified as a viable aide in aneurysm morphology assessment. The aim of this study was to evaluate the ac...
Middle Aged Deep Learning Treatment Outcome Predictive Value of Tests Reproducibility of Results Aged Aged, 80 and over Male Endovascular Procedures Computed Tomography Angiography Aortic Aneurysm, Abdominal Aortic Aneurysm Aortography Radiographic Image Interpretation, Computer-Assisted Endovascular Aneurysm Repair Humans Stents Retrospective Studies Blood Vessel Prosthesis Implantation Female
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Machine Learning and Omics Analysis in Aortic Aneurysm.

Angiology Oct 10, 2023
Aortic aneurysm is a life-threatening condition and mechanisms underlying its formation and progression are still incompletely understood. Omics approach has brought new insights to identify a broad spectrum of biomarkers and better understand cellul...
Biomarkers Deep Learning Genomics Proteomics Humans Metabolomics Machine Learning Aortic Aneurysm
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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...
Administration, Intravenous Humans Aortic Aneurysm Deep Learning Contrast Media Aortic Aneurysm, Abdominal
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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
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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...
Middle Aged Transcriptome Deep Learning Genome-Wide Association Study Female Aged Adult Male Aortic Aneurysm Biological Variation, Population Image Processing, Computer-Assisted Magnetic Resonance Imaging Aorta, Thoracic Quantitative Trait Loci Humans
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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...
Natural Language Processing Atherosclerosis Supervised Machine Learning Image Interpretation, Computer-Assisted Behavior Therapy Carotid Artery Diseases Life Style Aortic Aneurysm Prognosis Risk Assessment Treatment Outcome Peripheral Arterial Disease Machine Learning Algorithms Forecasting Phenotype Humans Artificial Intelligence
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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...
Humans Tomography, X-Ray Computed Aortic Aneurysm Deep Learning Aorta
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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.
Female Risk Factors Aged Aged, 80 and over Deep Learning Length of Stay Time Factors Health Services Research Male Aortic Aneurysm Risk Assessment Patient Selection Multivariate Analysis Humans Endovascular Procedures Decision Support Techniques Enhanced Recovery After Surgery Databases, Factual Clinical Decision-Making Smartphone Mobile Applications Treatment Outcome Patient Discharge
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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 Aortic Dissection Aorta Computed Tomography Angiography Adult Aortic Aneurysm Retrospective Studies Male Female Middle Aged Aged Deep Learning Aged, 80 and over Image Interpretation, Computer-Assisted
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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...
Aortic Aneurysm Male Aortography Reproducibility of Results Middle Aged Humans Aged Sinus of Valsalva Diagnosis, Computer-Assisted Machine Learning Adult Phenotype Aortic Valve Stenosis Cross-Sectional Studies Heart Valve Diseases Female Radiographic Image Interpretation, Computer-Assisted Pattern Recognition, Automated Aortic Valve Aortic Valve Insufficiency Aorta, Thoracic Predictive Value of Tests Bicuspid Aortic Valve Disease Computed Tomography Angiography
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