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

Deep learning algorithms can diagnose, triage, and monitor coronavirus cases from lung images. Next, can they predict who will need a ventilator? From a report: 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.” Some companies are selling their tools, others have released free online versions, and various groups are organizing large crowdsourced repositories of medical images to generate new algorithms. “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.”