"This study validates our novel solution, which has been widely studied via multiple international datasets and a range of retrospective experiments to analyze the performance over time," added Becker. "The conclusion was clear: our rapidly-developed AI-based image analysis can achieve high accuracy in detection of coronavirus as well as quantification and tracking of disease burden."
Results of this study are available on arXiv.org, and it has been submitted to the Radiology Society of North America (RSNA) for review and potential publication in Radiology: Artificial Intelligence. RADLogics is also expanding the initial study to a larger population.
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For more information on the RADLogics AI solution for detecting COVID-19, visit our dedicated site at radlogics.com/coronavirus or contact Lynn Humphreys.
About RADLogics
A healthcare software company developing artificial intelligence (AI)-powered solutions, RADLogics provides machine learning image analysis solutions to improve radiologists' productivity while enhancing patient outcomes. Based in Boston, MA, US, and Tel Aviv, Israel, RADLogics is one of the pioneers in using AI & machine learning image analysis and advanced big data analytics to search and analyze imaging data from CTs, MRIs, PET scans, and X-rays to help reduce diagnostics turnaround time from hours to minutes by automating detection and report generation functions. The company's patented AI medical image analysis platform enables rapid development of AI algorithms, and provides seamless integration into existing radiology workflow. Visit www.radlogics.com to learn more or follow us on LinkedIn or Twitter.
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