By Susan Shepard on April 14, 2020



“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).


Read more via MD+DI >>