RADLogics’ AI-powered solution supports the evaluation of COVID-19 patients

AI developer RADLogics has developed solutions that harness AI-driven technology to automatically detect and measure abnormalities that improve efficiencies and expedite care. Their applications have been authorized by the FDA (in accordance with FDA guidance for imaging systems and software to address the COVID-19 public health emergency) to assist in the detection and quantification of findings associated with COVID-19. They include worklist triage and disease extent measurements using imaging findings on CT and X-ray scans. These solutions are being integrated into worklist and PowerScribe reporting workflows via the Nuance AI Marketplace and PowerShare Network, connecting over 7,500 healthcare facilities in the U.S.

Even before the COVID-19 pandemic, increasing workloads and exponential imaging complexity not only contributed to radiologist burnout, but also caused delays in diagnosis and critical time-to-treatment. In radiology, particularly in ED and ICU settings, minutes matter. Automating and improving diagnostic imaging with cloud-based technology and the power of machine learning can be life-saving and life-changing.

Moshe Becker, CEO and co-founder of RADLogics, shares his thoughts about the impetus behind RADLogics’ software journey and the potential impact their machine-learning based solutions will have on the speed and accuracy of radiologic imaging – during the coronavirus pandemic and beyond – potentially reducing treatment turnaround time from hours to mere minutes. He’ll discuss how access to RADLogics’ applications will help meet the growing demand in the U.S. for AI-powered solutions to support the evaluation of COVID-19 patients.

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