AIMC Topic: Aortic Aneurysm, Abdominal

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Pre-surgical and Post-surgical Aortic Aneurysm Maximum Diameter Measurement: Full Automation by Artificial Intelligence.

European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery Sep 10, 2021
OBJECTIVE: The aim of this study was to evaluate an automatic, deep learning based method (Augmented Radiology for Vascular Aneurysm [ARVA]), to detect and assess maximum aortic diameter, providing cross sectional outer to outer aortic wall measureme...
Aortic Aneurysm, Abdominal Radiographic Image Interpretation, Computer-Assisted Automation Computed Tomography Angiography Aortography Reproducibility of Results Aged Aged, 80 and over Young Adult Adult Male Humans Middle Aged Neural Networks, Computer Deep Learning Databases, Factual Treatment Outcome Retrospective Studies Predictive Value of Tests Female
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Geometric and biomechanical modeling aided by machine learning improves the prediction of growth and rupture of small abdominal aortic aneurysms.

Scientific reports Sep 10, 2021
It remains difficult to predict when which patients with abdominal aortic aneurysm (AAA) will require surgery. The aim was to study the accuracy of geometric and biomechanical analysis of small AAAs to predict reaching the threshold for surgery, diam...
Humans Machine Learning Algorithms Prognosis Tomography, X-Ray Computed Disease Management Aorta, Abdominal Computed Tomography Angiography Models, Cardiovascular Aortic Rupture Clinical Decision-Making Biomechanical Phenomena ROC Curve Aortic Aneurysm, Abdominal Area Under Curve
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Machine learning for detection of stenoses and aneurysms: application in a physiologically realistic virtual patient database.

Biomechanics and modeling in mechanobiology Jul 31, 2021
This study presents an application of machine learning (ML) methods for detecting the presence of stenoses and aneurysms in the human arterial system. Four major forms of arterial disease-carotid artery stenosis (CAS), subclavian artery stenosis (SAS...
Sensitivity and Specificity Severity of Illness Index User-Computer Interface Humans Peripheral Arterial Disease Models, Biological Aortic Aneurysm, Abdominal Neural Networks, Computer Regional Blood Flow Machine Learning Carotid Stenosis Algorithms Subclavian Artery Databases, Factual
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Validation of natural language processing to determine the presence and size of abdominal aortic aneurysms in a large integrated health system.

Journal of vascular surgery Feb 4, 2021
OBJECTIVE: Previous studies of the natural history of abdominal aortic aneurysms (AAAs) have been limited by small cohort sizes or heterogeneous analyses of pooled data. By quickly and efficiently extracting imaging data from the health records, natu...
Aortic Aneurysm, Abdominal Natural Language Processing Registries Image Interpretation, Computer-Assisted Delivery of Health Care, Integrated Male Diagnosis, Computer-Assisted United States Predictive Value of Tests Humans Prognosis Clinical Decision-Making Female Reproducibility of Results Aged Aged, 80 and over
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Fully automatic volume segmentation of infrarenal abdominal aortic aneurysm computed tomography images with deep learning approaches versus physician controlled manual segmentation.

Journal of vascular surgery Dec 9, 2020
OBJECTIVE: Imaging software has become critical tools in the diagnosis and decision making for the treatment of abdominal aortic aneurysms (AAA). However, the interobserver reproducibility of the maximum cross-section diameter is poor. This study aim...
Computed Tomography Angiography Software Design Aortography Radiographic Image Interpretation, Computer-Assisted Workflow Observer Variation Automation Multidetector Computed Tomography Deep Learning Humans Predictive Value of Tests Retrospective Studies Aortic Aneurysm, Abdominal Reproducibility of Results Anatomic Landmarks
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Prediction, pattern recognition and modelling of complications post-endovascular infra renal aneurysm repair by artificial intelligence.

Vascular Aug 24, 2020
OBJECTIVES: The study evaluates the plausibility and applicability of prediction, pattern recognition and modelling of complications post-endovascular aneurysm repair (EVAR) by artificial intelligence for more accurate surveillance in practice.
Time Factors Treatment Outcome Support Vector Machine Decision Trees Aortic Aneurysm, Abdominal Humans Pattern Recognition, Automated Artificial Intelligence Blood Vessel Prosthesis Implantation Endovascular Procedures Graft Occlusion, Vascular Aged, 80 and over Prospective Studies Blood Vessel Prosthesis Male Female Middle Aged Risk Factors Risk Assessment Foreign-Body Migration Aged Postoperative Complications Endoleak
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3D Automatic Segmentation of Aortic Computed Tomography Angiography Combining Multi-View 2D Convolutional Neural Networks.

Cardiovascular engineering and technology Aug 11, 2020
PURPOSE: The quantitative analysis of contrast-enhanced Computed Tomography Angiography (CTA) is essential to assess aortic anatomy, identify pathologies, and perform preoperative planning in vascular surgery. To overcome the limitations given by man...
Imaging, Three-Dimensional Predictive Value of Tests Aortic Aneurysm, Abdominal Aged Radiographic Image Interpretation, Computer-Assisted Humans Computed Tomography Angiography Aged, 80 and over Aorta, Abdominal Retrospective Studies Aortography Male Female Middle Aged Deep Learning
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Artificial intelligence in abdominal aortic aneurysm.

Journal of vascular surgery Feb 21, 2020
OBJECTIVE: Abdominal aortic aneurysm (AAA) is a life-threatening disease, and the only curative treatment relies on open or endovascular repair. The decision to treat relies on the evaluation of the risk of AAA growth and rupture, which can be diffic...
Humans Artificial Intelligence Decision Support Techniques Clinical Decision-Making Risk Factors Aortic Aneurysm, Abdominal Risk Assessment Patient Selection Diagnosis, Computer-Assisted Image Interpretation, Computer-Assisted Decision Support Systems, Clinical Treatment Outcome Predictive Value of Tests
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A Comparative Classification Analysis of Abdominal Aortic Aneurysms by Machine Learning Algorithms.

Annals of biomedical engineering Jan 24, 2020
The objective of this work was to perform image-based classification of abdominal aortic aneurysms (AAA) based on their demographic, geometric, and biomechanical attributes. We retrospectively reviewed existing demographics and abdominal computed tom...
Aortic Aneurysm, Abdominal Computed Tomography Angiography Humans Finite Element Analysis Aneurysm, Ruptured Female Machine Learning Aged Aged, 80 and over Male Middle Aged
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Machine learning for the prediction of acute kidney injury and paraplegia after thoracoabdominal aortic aneurysm repair.

Journal of cardiac surgery Nov 25, 2019
OBJECTIVE: Prediction of acute renal failure (ARF) and paraplegia after thoracoabdominal aortic aneurysm repair (TAAAR) is helpful for decision-making during the postoperative phase. To find a more efficient method for making a prediction, we perform...
Female Aortic Aneurysm, Abdominal Humans Aged Aortic Aneurysm, Thoracic Machine Learning Adult Paraplegia Forecasting Male Acute Kidney Injury Postoperative Complications
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