AIMC Topic: Aortic Aneurysm, Abdominal
Clear Filters Showing 21 to 30 of 74 articles
Volume Measurements for Surveillance after Endovascular Aneurysm Repair using Artificial Intelligence.
European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery
Sep 3, 2024
OBJECTIVE: Surveillance after endovascular aneurysm repair (EVAR) is suboptimal due to limited compliance and relatively large variability in measurement methods of abdominal aortic aneurysm (AAA) sac size after treatment. Measuring volume offers a m...
Reproducibility of Results
Aged
Aged, 80 and over
Male
Artificial Intelligence
Software
Retrospective Studies
Female
Blood Vessel Prosthesis Implantation
Endovascular Procedures
Computed Tomography Angiography
Aortography
Endovascular Aneurysm Repair
Treatment Outcome
Predictive Value of Tests
Aortic Aneurysm, Abdominal
Humans
Radiographic Image Interpretation, Computer-Assisted
Low energy virtual monochromatic CT with deep learning image reconstruction to improve delineation of endoleaks.
Clinical radiology
Jul 9, 2024
AIM: This study aimed to investigate the utility of low-energy virtual monochromatic imaging (VMI) combined with deep-learning image reconstruction (DLIR) in improving the delineation of endoleaks (ELs) after endovascular aortic repair (EVAR) in cont...
Artificial intelligence-driven multiomics predictive model for abdominal aortic aneurysm subtypes to identify heterogeneous immune cell infiltration and predict disease progression.
International immunopharmacology
Jul 8, 2024
BACKGROUND: Abdominal aortic aneurysm (AAA) poses a significant health risk and is influenced by various compositional features. This study aimed to develop an artificial intelligence-driven multiomics predictive model for AAA subtypes to identify he...
Detection of Endoleak after Endovascular Aortic Repair through Deep Learning Based on Non-contrast CT.
Cardiovascular and interventional radiology
Jul 8, 2024
OBJECTIVES: To develop and validate a deep learning model for detecting post-endovascular aortic repair (EVAR) endoleak from non-contrast CT.
Machine Learning Based Prediction of Post-operative Infrarenal Endograft Apposition for Abdominal Aortic Aneurysms.
European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery
Jul 6, 2024
OBJECTIVE: Challenging infrarenal aortic neck characteristics have been associated with an increased risk of type Ia endoleak after endovascular aneurysm repair (EVAR). Short apposition (< 10 mm circumferential shortest apposition length [SAL]) on th...
Humans
Machine Learning
Retrospective Studies
Aorta, Abdominal
Blood Vessel Prosthesis Implantation
Endovascular Procedures
Computed Tomography Angiography
Male
Blood Vessel Prosthesis
Female
Treatment Outcome
Aortography
Risk Factors
Predictive Value of Tests
Endoleak
Aged
Aortic Aneurysm, Abdominal
Aged, 80 and over
Artificial Intelligence Based Methods to Enhance Analysis of Non-Contrast Computed Tomography in Patients with Aortic Aneurysm.
European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery
Jun 25, 2024
Streamlining Acute Abdominal Aortic Dissection Management-An AI-based CT Imaging Workflow.
Journal of imaging informatics in medicine
Jun 12, 2024
Life-threatening acute aortic dissection (AD) demands timely diagnosis for effective intervention. To streamline intrahospital workflows, automated detection of AD in abdominal computed tomography (CT) scans seems useful to assist humans. We aimed at...
Artificial Intelligence With Deep Learning Enables Assessment of Aortic Aneurysm Diameter and Volume Through Different Computed Tomography Phases.
European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery
Apr 16, 2024
An artificial intelligence based abdominal aortic aneurysm prognosis classifier to predict patient outcomes.
Scientific reports
Feb 9, 2024
Abdominal aortic aneurysms (AAA) have been rigorously investigated to understand when their clinically-estimated risk of rupture-an event that is the 13th leading cause of death in the US-exceeds the risk associated with repair. Yet the current clini...
Multicentric clinical evaluation of a computed tomography-based fully automated deep neural network for aortic maximum diameter and volumetric measurements.
Journal of vascular surgery
Feb 5, 2024
OBJECTIVE: This study aims to evaluate a fully automatic deep learning-based method (augmented radiology for vascular aneurysm [ARVA]) for aortic segmentation and simultaneous diameter and volume measurements.
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