AIMC Topic: Aortic Diseases

Clear Filters Showing 11 to 16 of 16 articles

Flexible robotic catheters in the visceral segment of the aorta: advantages and limitations.

The Journal of cardiovascular surgery Mar 19, 2018
Flexible robotic catheters are an emerging technology which provide an elegant solution to the challenges of conventional endovascular intervention. Originally developed for interventional cardiology and electrophysiology procedures, remotely steerab...
Pliability Vascular Access Devices Endovascular Procedures Treatment Outcome Aorta Catheterization, Peripheral Aortic Diseases Robotics Humans Equipment Design Animals Radiography, Interventional
View on PubMed DOI

Immediate hemodynamic changes after revascularization of complete infrarenal aortic occlusion: A classic issue revisited.

Medical hypotheses Dec 18, 2015
Chronic total occlusion of the infrarenal aorta (CTOA) is a rare disease, characterized by severe impairment of limb perfusion. It is advocated that revascularization may improve survival rates, presumably due to improved cardiovascular performance; ...
Models, Cardiovascular Aortic Diseases Middle Aged Kidney Arterial Occlusive Diseases Aged Pulse Wave Analysis Humans Hemodynamics Pilot Projects Radiography Stents Female Male
View on PubMed DOI

Accuracy of a deep learning-based algorithm for the detection of thoracic aortic calcifications in chest computed tomography and cardiovascular surgery planning.

European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery Jun 3, 2024
OBJECTIVES: To assess the accuracy of a deep learning-based algorithm for fully automated detection of thoracic aortic calcifications in chest computed tomography (CT) with a focus on the aortic clamping zone.
Aged Aged, 80 and over Male Tomography, X-Ray Computed Female Aorta, Thoracic Vascular Calcification Aortic Diseases Middle Aged Deep Learning Algorithms Humans Retrospective Studies
View on PubMed DOI

Artificial intelligence and machine learning in aortic disease.

Current opinion in cardiology Nov 1, 2021
PURPOSE OF REVIEW: Discuss foundational concepts for artificial intelligence (AI) and review recent literature on its application to aortic disease.
Magnetic Resonance Imaging Aortic Diseases Artificial Intelligence Machine Learning Algorithms Humans
View on PubMed DOI

Application of Artificial Intelligence-based Image Optimization for Computed Tomography Angiography of the Aorta With Low Tube Voltage and Reduced Contrast Medium Volume.

Journal of thoracic imaging Nov 1, 2019
PURPOSE: The purpose of this study was to evaluate the impact of artificial intelligence (AI)-based noise reduction algorithm on aorta computed tomography angiography (CTA) image quality (IQ) at 80 kVp tube voltage and 40 mL contrast medium (CM).
Adolescent Contrast Media Radiographic Image Interpretation, Computer-Assisted Male Middle Aged Signal-To-Noise Ratio Triiodobenzoic Acids Computed Tomography Angiography Aorta, Thoracic Image Enhancement Prospective Studies Female Aged, 80 and over Adult Aged Humans Artificial Intelligence Aortic Diseases
View on PubMed DOI

Automated segmentation and quantification of aortic calcification at abdominal CT: application of a deep learning-based algorithm to a longitudinal screening cohort.

Abdominal radiology (New York) Aug 1, 2019
OBJECTIVE: To investigate an automated aortic calcium segmentation and scoring tool at abdominal CT in an adult screening cohort.
Tomography, X-Ray Computed Aortic Diseases Female Radiography, Abdominal Humans Mass Screening Radiographic Image Interpretation, Computer-Assisted Male Aged Aorta, Abdominal Middle Aged Adult Pattern Recognition, Automated Vascular Calcification Deep Learning
View on PubMed DOI
Popular Topics
Recent Journals