RADLogics Showcases at RSNA 2017 its Virtual-Resident™—Machine Learning Image Analysis Software—Fully Integrated with Nuance PowerShare and PowerScribe360

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Company demonstrates how machine learning image analysis helps radiologists boost productivity and improve quality while using PowerShare and PowerScribe360.

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"Virtual-Resident machine-learning software provides the computational equivalent of a medical resident that traditionally prepares preliminary findings for radiologists, automatically delivered into Nuance PowerShare and PowerScribe360."

At RSNA 2017, RADLogics (Booth #8146) is demonstrating its Virtual-Resident—a clinical decision support solution for radiologists that delivers long-awaited leaps in productivity and quality—fully integrated with Nuance’s PowerShare image exchange platform and PowerScribe 360 reporting system.

The demonstration shows CT and Xray imaging studies uploaded to the RADLogics Virtual-Resident system from Nuance PowerShare. Findings are measured and characterized, and a preliminary report is automatically created and sent to Nuance’s PowerScribe 360 reporting system to be reviewed by the radiologist.

“The solution provides the computational equivalent of a medical resident that traditionally prepares preliminary findings for radiologists in academic medical centers,” says Moshe Becker, CEO and co-founder, RADLogics. “Our Virtual Resident is capable of performing this function for more studies and at a higher volume of images in a fraction of the time. The solution enables radiologists to handle more images per study and more studies per day while actually improving quality of care.”

The RADLogics cloud-based Virtual-Resident uses machine learning image analysis and advanced big data analytics to search and analyze imaging data associated with CTs, MRIs and X-rays. The speed and accuracy of the machine learning technology is continuously improved by RADLogics radiology knowledgebase, which is updated with studies from radiology departments and imaging centers around the world.

About RADLogics
RADLogics’ mission is to use machine learning to create clinical decision support solutions that help radiologists provide higher value reports to better serve referring physicians and patients. The company provides one of the first commercial machine learning image analysis clinical support solutions for radiologists. The system uses proprietary algorithms that are constantly improved based on a knowledge base of real clinical studies from hospitals around the world. The technology makes it possible to process enormous amounts of imaging data in seconds, and deliver a preliminary report to the radiologist for review.

RADLogics refers to this capability as Virtual Resident.
For more information, visit http://www.RADLogics.com, email us: info at RADLogics.com or stop by RSNA Booth #8146.

Contact information
info at RADLogics.com
RSNA North Hall, Booth #8146

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Moshe Becker
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