Back to search

Article

Artificial Intelligence Generated Computed Tomography Segmentation of the Thoracoabdominal Aorta

2025-01-14

Abstract excerpt

<h4>Objectives</h4> The rising global burden of cardiovascular diseases (CV) highlights the critical need for efficiency in disease diagnosis and management. An important area for such improvement is utilization of artificial intelligence (AI) for streamlining time and resources in CV imaging workflow. We evaluate the performance of artificial intelligence (AI) segmentation for aortic segmentation on clinical comp...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
2247e145-5fbc-5539-9ab9-120444b6e149
DOI
10.1101/2025.01.13.25320502
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Artificial Intelligence Generated Computed Tomography Segmentation of the Thoracoabdominal AortaDOI 10.1101/2025.01.13.25320502
Artificial Intelligence and Intravascular Imaging in Interventional Cardiology: A Scoping ReviewSemantic proximity
Artificial Intelligence-Enhanced Comprehensive Assessment of the Aortic Valve Stenosis Continuum in EchocardiographySemantic proximity
Artificial Intelligence in Coronary Computed Tomography Angiography: From Anatomy to Prognosis.Semantic proximity
Thoracic Aortic Three-Dimensional GeometrySemantic proximity
Commercial Artificial Intelligence for Intracranial Aneurysm Detection on CT Angiography: A Systematic ReviewSemantic proximity
Applications of artificial intelligence in computed tomography imaging for phenotyping pulmonary hypertension.Semantic proximity
Assessing the robustness of an artificial intelligence segmentation model for quantitative cardiovascular magnetic resonance imaging across cardiac phenotypes.Semantic proximity
Volumetric Analysis of Acute Uncomplicated Type B Aortic Dissection Using an Automated Deep Learning Aortic Zone Segmentation ModelSemantic proximity
The Promising Role of Artificial Intelligence in Aorta Aneurysms: An Aid not a Surrogate in Clinical ManagementSemantic proximity
Artificial intelligence in medical imaging: A radiomic guide to precision phenotyping of cardiovascular disease.Semantic proximity
AortaPlot: A Modular End-to-End Protocol for Automated Aortic Imaging Analysis, Visualization, and Standardized Clinical Reporting to Support Aortic SurveillanceSemantic proximity
Automated Abdominal Aortic Calcification Scoring via Deep Learning: A Multi-Center Validation of LVLCRNetSemantic proximity
Select a neighboring publication to make it the new centre.