An artificial intelligence system that can detect corona foci in the...

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 accuracy of human doctors.

According to the study, which was published in the scientific journal, Nature Communications, 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 Coronavirus in X-rays, with an accuracy of ninety percent, and it can detect positive cases by 84 percent and negative cases by 93 percent.

The “Science Daily” website, which specializes in technology, quoted the researcher, Olas Bagsey, 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 regular influenza.

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 they were tested on x-rays 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 ninety percent,” said Bagsey.

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