AI tool gives doctors a new look at the lungs in treating COVID-19
Scott Lyon, Office of Engineering Communications, May 21, 2020
Spurred by the COVID-19 pandemic, Princeton researchers have developed a diagnostic tool to analyze chest X-rays for patterns in diseased lungs. The new tool could give doctors valuable information about a patient’s condition, quickly and cheaply, at the point of care.
Princeton researchers have developed a diagnostic tool that uses AI to analyze chest X-rays for COVID-19 lung damage. The tool could help doctors triage patients and better allocate scarce resources.
Image courtesy of the researchers
Jason Fleischer, professor of electrical engineering and the project’s principal investigator, said he was inspired to create the tool after reading about COVID-19′s devastating range of attacks. As hospitals have been overrun with patients, doctors have observed two basic types of lung damage, one more immediately life-threatening than the other. Treatment can differ between the types, so distinguishing the two could improve care and better allocate scarce resources.