AI Tool Uses Chest X-ray to Differentiate Worst Cases of COVID-19
Chest X-ray from patient severely ill from COVID-19, showing (in white patches) infected tissue spread across the lungs. Image courtesy of Nature Publishing or npj Digital Medicine
May 14, 2021 — Trained to see patterns by analyzing thousands of chest X-rays, a computer program predicted with up to 80 percent accuracy which COVID-19 patients would develop life-threatening complications within four days, a new study finds.
Developed by researchers at NYU Grossman School of Medicine, the program used several hundred gigabytes of data gleaned from 5,224 chest X-rays taken from 2,943 seriously ill patients infected with SARS-CoV-2, the virus behind the infections.