RadLogics Showcases Machine Learning Image Analysis Solution for Radiologists at RSNA 2016

RadLogics AlphaPoint Machine Learning Image Analysis “Machine Learning Image Analysis Delivers Significant Improvements in Radiologists’ Reading Quality and Efficiency.” Chicago, Illinois (PRWEB) November 23, 2016 At RSNA 2016 (Booth #6143) RADLogics will showcase a solution that delivers long-awaited leaps in quality and productivity for radiologists. The demonstration shows CT and Xray imaging studies uploaded to the RADLogics machine learning image analysis AlphaPoint software platform. Findings are measured and characterized, and a preliminary report is automatically created within the radiologist’s familiar reporting template—including key images—within minutes. “The service provides the computational equivalent of a medical resident that traditionally prepares preliminary findings for radiologists in academic medical centers,” says Moshe Becker, executive chairman and co-founder, RADLogics. “Our Virtual Resident™ is capable of performing this function for more studies and at a higher…


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