Hospitals Deploy AI Tools to Detect COVID-19 on Chest Scans

Over the past week, companies around the world announced a flurry of AI-based systems to detect COVID-19 on chest CT or X-ray scans. Already, these deep learning tools are being used in hospitals to screen mild cases, triage new infections, and monitor advancing disease.

AI-powered analysis of chest scans has the potential to alleviate the growing burden on radiologists, who must review and prioritize a rising number of patient chest scans each day, experts say. And in the future, the technology might help predict which patients are most likely to need a ventilator or medication, and which can be sent home.

“That’s the brass ring,” says Matthew Lungren, a pediatric radiologist at Stanford University Medical Center and co-director of the Stanford Center for Artificial Intelligence in Medicine and Imaging. “That would be the killer app for this.” “The system we designed can process huge amounts of CT scans per day,” says Hayit Greenspan, a professor at Tel-Aviv University and chief scientist of RADLogics, a healthcare software company that recently announced one such AI-based system. “The capability for quickly covering a huge population is there.”

Read more at RADLogics

Image Credit: RADLogics

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