In a concerted effort
to augment the fight against COVID-19, research groups across the globe are harnessing the power of artificial intelligence (AI) to revolutionize radiology. These efforts focus on developing tools that enable comprehensive quantitative analysis of lung images, particularly chest X-rays and computed tomography (CT) scans.
The approach first noted in Wuhan, China, identifies shared health markers in lung images of COVID-19 patients, and employs AI to delineate the extent of lung involvement and to monitor patient progress.
Companies like Qure.ai
and Isometric are at the forefront of this technological leap. Qure.ai has developed AI algorithms that not only identify COVID-19 but also differentiate it from other respiratory illnesses. icometrix's AI-based technology, Young, has been pivotal in interpreting CT scans for signs of the disease.
Maryellen L. Giger, Ph.D., A.N. Pritzker Professor of Radiology at the University of Chicago, sees AI not as a replacement but as a tool to assist radiologists and clinicians in detecting and monitoring COVID-19 more quickly and objectively. These AI-based methods promise unprecedented detail and precision, invaluable in managing this global health crisis.