BOSTON, MA – October 13, 2020 – Given recent high-profile cases of COVID-19 and to aid in the ongoing fight against the pandemic in the United States, RADLogics™ today highlighted key insights from U.S. clinicians calling to embrace medical imaging and emerging technologies such as artificial intelligence (AI) to alleviate the ongoing pressure on the health systems due to Coronavirus. Since the pandemic started in China, RADLogics has responded with the deployment of the company's AI-Powered medical image analysis solution worldwide. The company's AI-Powered COVID-19 solution has processed and analyzed hundreds of thousands of suspected Coronavirus cases globally to support radiology, ER, and ICU teams as they have become overwhelmed with the surge of patients.
"There is significant potential clinical impact in the application of AI to medical images to follow and predict trajectory of disease," said Dr. Eliot Siegel, Professor and Vice Chair at the University of Maryland School of Medicine, Department of Diagnostic Radiology and Chief of Radiology and Nuclear Medicine for the Veterans Affairs Maryland Healthcare System. "Some of the early research that I did in collaboration with RADLogics was in the rapid utilization of machine learning to find and quantify disease in thoracic CT scans of patients with COVID-19. In order to streamline a process that normally might take years to just a few weeks, it was critical to apply transfer learning to existing tools and software to rapidly develop these algorithms."
In addition to the company's global deployments, in accordance with FDA guidance for imaging systems and software to address the COVID-19 public health emergency, RADLogics is committed to making the company's proven CT and X-ray AI-Powered solutions available to hospitals and healthcare systems throughout the U.S. for patient triage and management. The company's AI-Powered solutions provide quantitative analysis to clinical teams that perform testing and measurement of patients with severe or worsening respiratory condition. In turn, this provides care givers with a consistent, quantifiable information – including a score to monitor findings over time – to accurately assess the seriousness of the illness, thus allowing doctors to better triage patients based on those that urgently need intensive care such as ventilator support.
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RADLogics' AI-Powered COVID-19 solutions provide quantitative analysis to clinical teams that perform testing and measurement of patients with severe or worsening respiratory condition. Pictured: Chest CT with heat map.