Aortic Dissection

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 36927177

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...

Adult Aged Aorta, Thoracic Aortic Aneurysm, Thoracic Aortic Dissection Aortography Blood Vessel Prosthesis Implantation Computed Tomography Angiography Decision Support Techniques Deep Learning Endovascular Aneurysm Repair Endovascular Procedures Female Humans Male Middle Aged Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Retrospective Studies Risk Factors Time Factors Treatment Outcome Vascular Remodeling

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Deep learning-aided extraction of outer aortic surface from CT angiography scans of patients with Stanford type B aortic dissection.

European radiology experimental 37380806

BACKGROUND: Guidelines recommend that aortic dimension measurements in aortic dissection should include the aortic wall. This study aimed to evaluate two-dimensional (2D)- and three-dimensional (3D)-based deep learning approaches for extraction of ou...

Aorta Aortic Dissection Computed Tomography Angiography Deep Learning Humans Retrospective Studies

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Framework Development for Patient-Specific Compliant Aortic Dissection Phantom Model Fabrication: Magnetic Resonance Imaging Validation and Deep-Learning Segmentation.

Journal of biomechanical engineering 37195686

Type B aortic dissection is a life-threatening medical emergency that can result in rupture of the aorta. Due to the complexity of patient-specific characteristics, only limited information on flow patterns in dissected aortas has been reported in th...

Aorta Aortic Dissection Deep Learning Humans Image Processing, Computer-Assisted Magnetic Resonance Imaging Tomography, X-Ray Computed

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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 37774717

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...

Aortic Aneurysm, Thoracic Aortic Dissection Blood Vessel Prosthesis Implantation Deep Learning Endovascular Procedures Humans Retrospective Studies Treatment Outcome

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Deep learning-based diagnosis of aortic dissection using an electrocardiogram: Development, validation, and clinical implications of the AADE score.

Kardiologia polska 38230465

BACKGROUND: Aortic dissection (AD) is frequently associated with abnormalities in electrocardiographic findings. Advancements in medical technology present an opportunity to leverage these observations to improve patient diagnosis and care.

Aortic Dissection Artificial Intelligence Chest Pain Deep Learning Electrocardiography Humans

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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 38648727

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...

Acute Disease Aged Aortic Aneurysm, Thoracic Aortic Dissection Computed Tomography Angiography Deep Learning Endovascular Procedures Female Humans Male Middle Aged Postoperative Complications Predictive Value of Tests Radiomics Retrospective Studies

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Streamlining Acute Abdominal Aortic Dissection Management-An AI-based CT Imaging Workflow.

Journal of imaging informatics in medicine 38864947

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...

Aged Algorithms Aortic Aneurysm, Abdominal Aortic Dissection Dissection, Abdominal Aorta Female Humans Male Middle Aged Neural Networks, Computer Retrospective Studies ROC Curve Tomography, X-Ray Computed Workflow

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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 38851467

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...

Acute Disease Aged Aortic Aneurysm Aortic Aneurysm, Thoracic Aortic Dissection Aortography Automation Computed Tomography Angiography Deep Learning Disease Progression Female Humans Imaging, Three-Dimensional Male Middle Aged Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results Retrospective Studies Time Factors

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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 39128706

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...

Adult Aged Aortic Aneurysm, Thoracic Aortic Dissection Cluster Analysis Computed Tomography Angiography Female Humans Imaging, Three-Dimensional Machine Learning Male Middle Aged Phenotype Retrospective Studies Tomography, X-Ray Computed

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Enhanced machine learning models for predicting one-year mortality in individuals suffering from type A aortic dissection.

The Journal of thoracic and cardiovascular surgery 39303944

OBJECTIVE: The study objective was to develop and validate an interpretable machine learning model to predict 1-year mortality in patients with type A aortic dissection, improving risk classification and aiding clinical decision-making.

Aged Aortic Aneurysm Aortic Dissection Clinical Decision-Making Decision Support Techniques Female Humans Machine Learning Male Middle Aged Predictive Value of Tests Prognosis Retrospective Studies Risk Assessment Risk Factors Time Factors

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Explore the latest research on artificial intelligence and machine learning in medicine.

Deep Learning Prediction for Distal Aortic Remodeling After Thoracic Endovascular Aortic Repair in Stanford Type B Aortic Dissection.

Deep learning-aided extraction of outer aortic surface from CT angiography scans of patients with Stanford type B aortic dissection.

Framework Development for Patient-Specific Compliant Aortic Dissection Phantom Model Fabrication: Magnetic Resonance Imaging Validation and Deep-Learning Segmentation.

Deep learning-based multi-stage postoperative type-b aortic dissection segmentation using global-local fusion learning.

Deep learning-based diagnosis of aortic dissection using an electrocardiogram: Development, validation, and clinical implications of the AADE score.

Deep learning-based radiomics of computed tomography angiography to predict adverse events after initial endovascular repair for acute uncomplicated Stanford type B aortic dissection.

Streamlining Acute Abdominal Aortic Dissection Management-An AI-based CT Imaging Workflow.

Volumetric analysis of acute uncomplicated type B aortic dissection using an automated deep learning aortic zone segmentation model.

Unraveling phenotypic heterogeneity in stanford type B aortic dissection patients through machine learning clustering analysis of cardiovascular CT imaging.

Enhanced machine learning models for predicting one-year mortality in individuals suffering from type A aortic dissection.

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