A study conducted at the University of Central Florida in the United States revealed that artificial intelligence systems can diagnose foci of infection with the emerging corona virus in the lung, with the same accuracy as human doctors.
The study, which was published in the scientific journal Nature Communications, stated that "this new technology can overcome some of the challenges facing disease diagnostic systems at the present time."
The study team concluded that "the algorithmic equation of artificial intelligence can be trained to monitor foci of infection with the Corona virus in X-rays with an accuracy of 90%, and it can detect positive cases by 84%, and negative cases by 93%."
"The new algorithm can accurately detect infection with the Corona virus, and distinguish it from regular influenza," the Technology Daily website quoted researcher Olas Bagsey, a professor of computer science at the University of Central Florida, quoted by the author.
He added, "We have proven that powerful artificial intelligence systems can detect cases of emerging corona virus with an accuracy rate of up to 90%."
In order to conduct the experiment, the artificial intelligence system was trained to discover foci of infection with the Corona virus in the CT images of 1,280 patients from China, Japan and Italy, and then tested on X-ray images of 1337 patients with lung diseases ranging from Corona virus, common pneumonia and lung cancer.