Artificial intelligence applications in aortic dissection imaging
In 2020, the US Food and Drug Administration (FDA) reviewed and authorized over 60
artificial intelligence (AI)-enabled devices across a variety of medical fields, including …
artificial intelligence (AI)-enabled devices across a variety of medical fields, including …
[HTML][HTML] Emerging role of radiogenomics in genetically triggered thoracic aortic aneurysm and dissection: a narrative review
RTW Lum, X Wang, M Zhang, X Zhang… - Annals of …, 2023 - ncbi.nlm.nih.gov
Emerging role of radiogenomics in genetically triggered thoracic aortic aneurysm and dissection:
a narrative review - PMC Back to Top Skip to main content NIH NLM Logo Access keys NCBI …
a narrative review - PMC Back to Top Skip to main content NIH NLM Logo Access keys NCBI …
Deep learning-aided extraction of outer aortic surface from CT angiography scans of patients with Stanford type B aortic dissection
R Kesävuori, T Kaseva, E Salli, P Raivio… - European radiology …, 2023 - Springer
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 …
should include the aortic wall. This study aimed to evaluate two-dimensional (2D)-and three …
Deep learning prediction for distal aortic remodeling after thoracic endovascular aortic repair in stanford type b aortic dissection
M Zhou, X Luo, X Wang, T **e, Y Wang… - Journal of …, 2024 - journals.sagepub.com
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 …
remodeling after proximal thoracic endovascular aortic repair (TEVAR) in patients with …
[HTML][HTML] ADSeg: A flap-attention-based deep learning approach for aortic dissection segmentation
Accurate and rapid segmentation of the lumen in an aortic dissection (AD) is an important
prerequisite for risk evaluation and medical planning for patients with this serious condition …
prerequisite for risk evaluation and medical planning for patients with this serious condition …
Exploratory analysis of Type B Aortic Dissection (TBAD) segmentation in 2D CTA images using various kernels
Abstract Type-B Aortic Dissection is a rare but fatal cardiovascular disease characterized by
a tear in the inner layer of the aorta, affecting 3.5 per 100,000 individuals annually. In this …
a tear in the inner layer of the aorta, affecting 3.5 per 100,000 individuals annually. In this …
A Systematic Review on Detection of Aortic Dissection by Utilizing Deep Learning
Aortic dissection is a cardiovascular disease-causing mortality. It is vital to detect after
emergently for earlier interventions and healing prognosis of aortic dissection. Computer …
emergently for earlier interventions and healing prognosis of aortic dissection. Computer …
A Deformable Constraint Transport Network for Optimal Aortic Segmentation from CT Images
Aortic segmentation from computed tomography (CT) is crucial for facilitating aortic
intervention, as it enables clinicians to visualize aortic anatomy for diagnosis and …
intervention, as it enables clinicians to visualize aortic anatomy for diagnosis and …
Integrating Convolutional Neural Network and Transformer for Lumen Prediction Along the Aorta Sections
Aortic dissection is defined as a separation of layers of the aortic wall leading high mortality.
Accurately segmenting both the true and false lumens is critical for revealing geometrical …
Accurately segmenting both the true and false lumens is critical for revealing geometrical …
Registry of Aortic Diseases to Model Adverse Events and Progression (ROADMAP) in uncomplicated type B aortic dissection: study design and rationale
Purpose To describe the design and methodological approach of a multicenter,
retrospective study to externally validate a clinical and imaging-based model for predicting …
retrospective study to externally validate a clinical and imaging-based model for predicting …