AI-Powered CT Imaging System Shown to Detect COVID-19

“As COVID-19 continues to rapidly spread around the world, it is critical that we have all the solutions on the table, as healthcare systems and providers may become overwhelmed with symptomatic patients with severe or worsening respiratory status,” said Moshe Becker, CEO and co-founder of RADLogics, in an interview with MD+DI. He explained that there will also be the need to monitor patients with functional impairment and/or hypoxemia after they recover from COVID-19. To that end, RADLogics has developed an AI-powered system that supports chest imaging for the medical triage of patients with a high probability of COVID-19, and symptomatic patients with severe or worsening respiratory status. A recent study found that this CT image analysis algorithm achieved a high level of accuracy for detecting COVID-19 on CT. The study found that the algorithm could differentiate 157 patients with and without COVID-19 with a 0.996 AUC (plus, 98.2% sensitivity and 92.2% specificity). “The algorithm is supported by our own workflow software program that enables rapid deployment of the solution at multiple hospitals, using commercial cloud-computing resources through Amazon Web Services that can process up to one million CT studies per day,” said Becker. “It integrates within minutes into a comprehensive, seamless, and secure workflow to augment acute-care teams with deep clinical insight and actionable...
Source: MDDI - Category: Medical Devices Authors: Tags: COVID-19 Imaging Source Type: news