News | Clinical Decision Support | December 14, 2015

vRad Deep Learning Algorithm Successfully Identifies Potential Intracranial Hemorrhaging

Machine-learning-powered workflow analyzes CT images in real time to prioritize patient care

December 14, 2015 — vRad (Virtual Radiologic) successfully reached a critical milestone in its “Deep Learning” artificial intelligence (AI) initiative, developing an algorithm that reviews computed tomography (CT) images in real time and identifies potential intracranial hemorrhaging (IH). After securing necessary regulatory approvals, the next step will be to implement this process into vRad’s patented telemedicine workflow immediately so radiologists will have the ability to optimize diagnostic review time for these life-threatening abnormalities.

IH requires immediate medical treatment, otherwise it quickly leads to increased pressure in the brain, and potentially damaged brain tissue or death. vRad will commence the process to obtain regulatory approval before the end of 2015.

vRad’s physicians used anonymized data from the company’s extensive clinical database to train AI software to search, analyze and correctly recall positive cases of IH. vRad interprets approximately 90,000 head CTs monthly, thousands of which are diagnosed with IH. With the deep-learning-powered workflow, all potential IH cases recalled by the algorithm will be “flagged” so the patient’s study can be automatically prioritized within the radiologist’s reading queue. vRad can then assign cases with potential IH to the most appropriately trained/experienced radiologist (e.g., a neuroradiologist), so they can direct their attention to the image, diagnose the condition and relay critical findings to the attending physician as quickly as possible.

Adding this capability to other priority-based workflows, including the practice’s Trauma Protocol, will allow vRad to target radiologists’ “eyes on the images” in less than the current average of four minutes after receipt from a client’s referring facility. Based on most recent test results for recall and precision, vRad expects that over 5,000 could be identified for potential IH from the IH workflow in 2016, creating faster delivery of care to those patients.

For more information: www.vrad.com

Related Content

RamSoft Reaches Distribution Agreement With Medical Equipment Dynamics
News | PACS | September 21, 2017
September 21, 2017 — Medical Equipment Dynamics, provider of new, used and refurbished medical equipment, will now of
Carestream Demonstrates Artificial Intelligence Tools for Clinical Collaboration Platform
News | Enterprise Imaging | September 20, 2017
Carestream Health is demonstrating advanced imaging analytics software tools designed to enhance value in the delivery...
National Decision Support Co. Expands Enterprise Decision Support Integration With Epic
News | Clinical Decision Support | September 13, 2017
September 13, 2017 — Since announcing the integration of CareSelect Imaging with Epic's enterprise electronic health
News | PACS | September 13, 2017
Nuance Communications Inc. announced that Citizens Medical Center, a critical access hospital in rural Kansas, has...
Matrix Analytics Beginning Validation of Deep Learning Lung CT Tools
News | Lung Cancer | September 13, 2017
Matrix Analytics announced it will clinically validate its LungDirect deep learning and predictive analytics tools for...
Fujifilm Secures DIN-PACS IV Contract From U.S. Department of Defense
News | Enterprise Imaging | September 12, 2017
September 12, 2017 — Fujifilm Medical Systems U.S.A.
News | Enterprise Imaging | September 11, 2017
Konica Minolta will highlight its Exa Enterprise Imaging platform at the 2017 annual meeting of the Radiological...
Fujifilm Brings Synapse Enterprise Imaging Solutions to Seven Healthcare Systems
News | Enterprise Imaging | August 31, 2017
Fujifilm Medical Systems U.S.A. Inc. was recently designated the enterprise imaging partner of choice for several...
Nine U.S. Health Systems Choose Nuance to Improve Radiology Reporting
News | PACS Accessories | August 30, 2017
Nuance Communications Inc. announced that nine U.S. healthcare organizations have recently chosen Nuance solutions to...
20/20 GeneSystems Launches AI-Based Lung Cancer Detection Technology in China
Technology | Lung Cancer | August 28, 2017
20/20 GeneSystems Inc. recently released in China what is believed to be the world’s first machine learning algorithm...
Overlay Init