AIMC Topic: Aortic Aneurysm, Thoracic

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Using Machine Learning to Predict Outcomes Following Thoracic and Complex Endovascular Aortic Aneurysm Repair.

Journal of the American Heart Association Mar 3, 2025
BACKGROUND: Thoracic endovascular aortic repair (TEVAR) and complex endovascular aneurysm repair (EVAR) are complex procedures that carry a significant risk of complications. While risk prediction tools can aid in clinical decision making, they remai...
Machine Learning Databases, Factual Retrospective Studies Female Risk Factors Humans Treatment Outcome Predictive Value of Tests Aortic Aneurysm, Thoracic Blood Vessel Prosthesis Implantation Endovascular Procedures Aged Aged, 80 and over Male Risk Assessment Postoperative Complications
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Can ChatGPT 4.0 Diagnose Acute Aortic Dissection? Integrating Artificial Intelligence into Medical Diagnostics.

The American journal of cardiology Jan 16, 2025
Acute aortic dissection (AD) is a critical condition characterized by high mortality and frequent misdiagnoses, primarily due to symptom overlap with other medical pathologies. This study explores the diagnostic utility of ChatGPT 4.0, an artificial ...
Acute Disease Aortic Dissection Aortic Aneurysm, Thoracic Aortic Aneurysm Humans Artificial Intelligence Female Aged Aged, 80 and over Adult Male Middle Aged Generative Artificial Intelligence Diagnosis, Differential
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Unraveling phenotypic heterogeneity in stanford type B aortic dissection patients through machine learning clustering analysis of cardiovascular CT imaging.

Hellenic journal of cardiology : HJC = Hellenike kardiologike epitheorese Aug 10, 2024
OBJECTIVE: Aortic dissection remains a life-threatening condition necessitating accurate diagnosis and timely intervention. This study aimed to investigate phenotypic heterogeneity in patients with Stanford type B aortic dissection (TBAD) through mac...
Machine Learning Phenotype Retrospective Studies Tomography, X-Ray Computed Female Humans Imaging, Three-Dimensional Aged Cluster Analysis Adult Aortic Dissection Male Aortic Aneurysm, Thoracic Middle Aged Computed Tomography Angiography
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Volumetric analysis of acute uncomplicated type B aortic dissection using an automated deep learning aortic zone segmentation model.

Journal of vascular surgery Jun 6, 2024
BACKGROUND: Machine learning techniques have shown excellent performance in three-dimensional medical image analysis, but have not been applied to acute uncomplicated type B aortic dissection (auTBAD) using Society for Vascular Surgery (SVS) and Soci...
Predictive Value of Tests Acute Disease Radiographic Image Interpretation, Computer-Assisted Automation Aortic Dissection Middle Aged Disease Progression Deep Learning Time Factors Imaging, Three-Dimensional Aortic Aneurysm, Thoracic Humans Computed Tomography Angiography Aortic Aneurysm Retrospective Studies Aortography Female Reproducibility of Results Aged Male
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Prediction of endovascular leaks after thoracic endovascular aneurysm repair though machine learning applied to pre-procedural computed tomography angiographs.

Physical and engineering sciences in medicine May 2, 2024
To predict endoleaks after thoracic endovascular aneurysm repair (TEVAR) we submitted patient characteristics and vessel features observed on pre- operative computed tomography angiography (CTA) to machine-learning. We evaluated 1-year follow-up CT s...
Endovascular Procedures Computed Tomography Angiography Endoleak Aged Endovascular Aneurysm Repair Aged, 80 and over Male Middle Aged Aortic Aneurysm, Thoracic Humans Machine Learning Female
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Deep learning-based radiomics of computed tomography angiography to predict adverse events after initial endovascular repair for acute uncomplicated Stanford type B aortic dissection.

European journal of radiology Apr 15, 2024
PURPOSE: This study aimed to construct a predictive model integrating deep learning-derived radiomic features from computed tomography angiography (CTA) and clinical biomarkers to forecast postoperative adverse events (AEs) in patients with acute unc...
Computed Tomography Angiography Radiomics Male Middle Aged Postoperative Complications Deep Learning Predictive Value of Tests Acute Disease Aortic Dissection Aortic Aneurysm, Thoracic Endovascular Procedures Humans Retrospective Studies Female Aged
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Deep learning-based multi-stage postoperative type-b aortic dissection segmentation using global-local fusion learning.

Physics in medicine and biology Nov 29, 2023
Type-b aortic dissection (AD) is a life-threatening cardiovascular disease and the primary treatment is thoracic endovascular aortic repair (TEVAR). Due to the lack of a rapid and accurate segmentation technique, the patient-specific postoperative AD...
Humans Endovascular Procedures Retrospective Studies Deep Learning Treatment Outcome Aortic Dissection Aortic Aneurysm, Thoracic Blood Vessel Prosthesis Implantation
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Deep Learning Prediction for Distal Aortic Remodeling After Thoracic Endovascular Aortic Repair in Stanford Type B Aortic Dissection.

Journal of endovascular therapy : an official journal of the International Society of Endovascular Specialists Mar 16, 2023
PURPOSE: This study aimed to develop a deep learning model for predicting distal aortic remodeling after proximal thoracic endovascular aortic repair (TEVAR) in patients with Stanford type B aortic dissection (TBAD) using computed tomography angiogra...
Aortic Dissection Aortic Aneurysm, Thoracic Blood Vessel Prosthesis Implantation Endovascular Procedures Vascular Remodeling Decision Support Techniques Computed Tomography Angiography Retrospective Studies Aortography Female Endovascular Aneurysm Repair Risk Factors Aged Time Factors Treatment Outcome Humans Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Aorta, Thoracic Adult Male Middle Aged Deep Learning
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4D segmentation of the thoracic aorta from 4D flow MRI using deep learning.

Magnetic resonance imaging Jan 5, 2023
BACKGROUND: 4D flow MRI allows the analysis of hemodynamic changes in the aorta caused by pathologies such as thoracic aortic aneurysms (TAA). For personalized management of TAA, new biomarkers are required to analyze the effect of fluid structure it...
Humans Deep Learning Magnetic Resonance Imaging Aorta, Thoracic Aortic Aneurysm, Thoracic Blood Flow Velocity Aorta Magnetic Resonance Imaging, Cine
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Prediction of Distal Aortic Enlargement after Proximal Repair of Aortic Dissection Using Machine Learning.

Annals of vascular surgery Apr 3, 2021
OBJECTIVES: This study aimed to construct a risk prediction model for distal aortic enlargement in patients with type B aortic dissection (TBAD) treated with proximal thoracic endovascular aortic repair (TEVAR).
Adult Dilatation, Pathologic Male Middle Aged Electronic Health Records Risk Assessment Clinical Decision-Making Time Factors Female Treatment Outcome Risk Factors Support Vector Machine Aged Aortic Rupture Aortic Dissection Humans Aortic Aneurysm, Thoracic Neural Networks, Computer Blood Vessel Prosthesis Implantation Decision Support Techniques Endovascular Procedures Retrospective Studies Vascular Remodeling Aorta
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