And according to the study, which was conducted at the University of Central Florida in the United States, that this new technology can overcome some of the challenges facing disease diagnostic systems at the present time.
The study team, published in the scientific journal “Nature Communications”, concluded that the algorithmic equation of artificial intelligence can be trained to monitor foci of infection with the Coronavirus in X-ray images with an accuracy of 90%, and it can detect positive cases by 84% and negative cases by 93%.
The “Science Daily” website, a specialist in technology, quoted the researcher, Olas Bagsey, a professor of computer science at the University of Central Florida, as saying that the new algorithm can accurately detect infection with the Coronavirus, and distinguish it from the regular flu.
In order to conduct the experiment, the artificial intelligence system was trained to discover foci of infection with the Coronavirus 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.
“We have proven that powerful artificial intelligence systems can detect cases of the emerging corona virus with an accuracy of up to 90%,” said Bagsey.
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