News | Teleradiology | April 10, 2019

vRad Receives 19th Patent

Newest patent integrates machine learning into the Mednax Common Imaging Platform to maximize diagnostic imaging evaluation and assist radiologists

vRad Receives 19th Patent

April 10, 2019 – vRad (Virtual Radiologic), a Mednax Radiology Solutions practice, announced that the U.S. Patent and Trademark Office has issued the company’s 19th patent. The new patent, Patent No. 10,198,816 B2, is entitled “Medical Evaluation Machine Learning Workflows and Processes.” The patent covers methods and systems for automated image recognition using artificial intelligence (AI) in an electronic workflow and for performing a diagnostic evaluation of a medical image study that can be modified, updated or prioritized.

Once the AI-based evaluation is completed, the study can be re-routed, prioritized or modified to enable a specialist to quickly get “eyes on images.” They can then evaluate the patient’s clinical situation to determine if they require immediate urgent care, while also ensuring a complete and accurate diagnosis.

The Mednax Common Imaging Platform, powered by vRad, enables the company to integrate thousands of facilities in all 50 states through a national technology platform.

For more information: www.vrad.com

Related Content

Graphic courtesy of Pixabay

Graphic courtesy of Pixabay

Feature | Artificial Intelligence | April 22, 2019 | By Greg Freiherr
...
HHS Extends Comment Period for Proposed Electronic Health Information Interoperability Rules
News | Electronic Medical Records (EMR) | April 19, 2019
The U.S. Department of Health and Human Services (HHS) is extending the public comment period by 30 days for two...
FDA Clears GE's Deep Learning Image Reconstruction Engine
Technology | Computed Tomography (CT) | April 19, 2019
GE Healthcare has received 510(k) clearance from the U.S. Food and Drug Administration (FDA) of its Deep Learning Image...
In a demonstration on the exhibit floor of the SBI symposium, Koios software identified suspicious lesions in ultrasound images

In a demonstration on the exhibit floor of the SBI symposium, Koios software identified suspicious lesions in ultrasound images. Photo by Greg Freiherr

Feature | Artificial Intelligence | April 19, 2019 | By Greg Freiherr
Commercial efforts to develop...
Artificial Intelligence Performs As Well As Experienced Radiologists in Detecting Prostate Cancer
News | Artificial Intelligence | April 18, 2019
University of California Los Angeles (UCLA) researchers have developed a new artificial intelligence (AI) system to...
Atrium Health Debuts Amazon Alexa Skill to Help Patients Access Medical Care
News | Artificial Intelligence | April 18, 2019
Atrium Health patients will now be able to use Amazon’s electronic voice system Alexa to not only locate the nearest...
Oxipit Introduces Multilingual Support for ChestEye AI Imaging Suite
News | Artificial Intelligence | April 16, 2019
The CE-certified ChestEye artificial intelligence (AI) imaging suite by Oxipit is now available in seven European...
iCAD Appoints Stacey Stevens as President
News | Radiology Business | April 16, 2019
iCAD Inc. recently announced that Stacey Stevens has been named president. As president, Stevens will have expanded...