News | Artificial Intelligence | July 01, 2019

vRad Presents AI Model to Assess Probability of Aortic Dissection

Model presented at SIIM 2019 used to prioritize cases and accelerate time-to-care

vRad Presents AI Model to Assess Probability of Aortic Dissection

July 1, 2019 – vRad (Virtual Radiologic), a Mednax company recently made a scientific presentation, “Screening for Aortic Dissection on CT Angiography Using a Convolutional Neural Network,” at the Society for Imaging Informatics in Medicine (SIIM) Annual Meeting, June 26-28 in Aurora, Colo.

The presentation highlighted how vRad, using machine learning on retrospective aortic dissection data, created an artificial intelligence (AI) model for classifying and prioritizing aortic dissection and rupture for all post-contrast chest computed tomography (CT) imaging data passing through vRad’s patented reading platform. The model is integrated into vRad radiologists’ workflow to accelerate time-to-care. The presentation also outlined how vRad, in conjunction with the Mednax Radiology Solutions Artificial Intelligence (MDR-AI) Incubator, developed a convolutional neural network model trained on these aortic datasets to assess how likely these pathologies would be present in a chest CT.  

Aortic dissection is a condition in which the aorta wall tears, causing blood to flow through the torn region as the middle and inner layers of the wall separate. This condition can be fatal if not recognized and treated immediately. The ideal imaging technique for identification of aortic dissection is computed tomography angiography (CTA) of the aorta. A fast method of screening chest CT studies for this pathology can assist with efficient patient triage and diagnosis.

The work developing the model also includes efforts of the MDR-AI Incubator, which launched in November 2018. The Incubator brings together radiologists, rich clinical datasets and technology partners to stimulate innovation and product development in radiology, improving clinical accuracy, efficiency, and the overall quality of patient care. The AI Incubator’s approach involves developing models that have immediate and measurable impact, so that medical and technical leaders can build tools that improve the practice of radiology for physicians and their patients.

For more information:

Related Content

Major Radiology Organizations Publish Ethics of AI in Radiology Statement
News | Artificial Intelligence | October 22, 2019
Experts in the use of artificial intelligence (AI) in radiology, from many of the world’s leading radiology, medical...
Greater Left Ventricular Mass Increases Risk of Heart Failure
News | Cardiac Imaging | October 21, 2019
Elevated left ventricular mass, known as left-ventricular hypertrophy, is a stronger predictor of coronary artery...
Laurel Bridge Software Celebrates 20th Anniversary
News | Enterprise Imaging | October 21, 2019
Laurel Bridge Software recently celebrated its 20th anniversary of helping healthcare providers and original equipment...
Densitas Breast Density Assessment Software Joins Nuance AI Marketplace
News | Breast Density | October 21, 2019
Densitas Inc. announced that its U.S. Food and Drug Administration (FDA)-cleared densitas densityai breast density...
FDA Clears AiCE Image Reconstruction on Canon's Aquilion Precision CT

Image courtesy of Canon Medical Systems

Technology | Computed Tomography (CT) | October 21, 2019
Canon Medical Systems USA Inc. has received U.S. Food and Drug Administration (FDA) 510(k) clearance on its Advanced...
The Revolution Apex intelligent computed tomography (CT) scanner

The Revolution Apex intelligent computed tomography (CT) scanner. Image courtesy of GE Healthcare.

News | RSNA | October 18, 2019
At the 2019 annual meeting of the Radiological Society of North America (RSNA 2019), Dec. 1-6 in Chicago, GE Healthcare...
Selecting an AI Marketplace for Radiology: Key Considerations for Healthcare Providers
Feature | Artificial Intelligence | October 18, 2019 | Sanjay Parekh, Ph.D.
October 18, 2019 — As the nascent market for...
Surgical Institute of Reading Chooses RamSoft's PowerServer Lite PACS
News | PACS | October 18, 2019
Surgical Institute of Reading recently selected RamSoft’s PowerServer Lite PACS (picture archiving and communication...
MaxQ AI's Intracranial Hemorrhage Software to be Integrated on Philips CT Systems
News | Artificial Intelligence | October 18, 2019
Medical diagnostic artificial intelligence (AI) company MaxQ AI announced that its Accipio intracranial hemorrhage (ICH...