vRad Reaches Milestone: Deep Learning Algorithm Successfully Identifies Potential Intracranial …

MINNEAPOLIS–(BUSINESS WIRE)–vRad (Virtual Radiologic), an affiliate of MEDNAX, Inc. (NYSE: MD) and the leading national teleradiology services and telemedicine company, has successfully reached a critical milestone outlined as part of its commitment to the growing branch of artificial intelligence known as “Deep Learning” announced in June 2015. vRad’s anonymized and extensive clinical data sets and clinical expertise provided by their medical leadership team drove the successful development of an algorithm that reviews 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…


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