Researchers at the Massachusetts Institute of Technology have published a paper suggesting artificial intelligence can recognize potential coronavirus cases based on how people sound when they cough, PCMag reports.
The MIT team employed an AI model that was able to accurately identify 98.5 percent of coughs from people who were confirmed to have been infected by the coronavirus. The accuracy actually ticked up to 100 percent among people who were not displaying symptoms. "We think this shows that the way you produce sound changes when you have COVID, even if you're asymptomatic," Brian Subirana, the paper's co-author, said.
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