Researchers at the Massachusetts Institute of Technology have created a new artificial intelligence system that could identify the novel coronavirus in someone’s cough.
The researchers released their findings in a new paper published in the IEEE Journal of Engineering in Medicine and Biology.
- The researchers ran 4,000 tests of people forcing themselves to cough.
- They identified someone who had tested positive for COVID-19 in 98.5% of the tests.
- The researchers identified 100% of cases for those who confirmed they had the virus but had no symptoms, according to the researchers.
What it means:
“We think this shows that the way you produce sound, changes when you have COVID, even if you’re asymptomatic,” co-author Brian Subirana, a research scientist at the college’s Auto-ID Laboratory, told MIT News.
“The effective implementation of this group diagnostic tool could diminish the spread of the pandemic if everyone uses it before going to a classroom, a factory, or a restaurant,” Subirana told MIT News.
What’s next:
The researchers said they hope to add the technology into an app that — if approved by the U.S. Food and Drug Administration — could offer a “a free, convenient, noninvasive prescreening tool to identify people who are likely to be asymptomatic for COVID-19,” according to MIT News.
The best case scenario would include people opening the app, coughing into their phone and getting information about whether or not they’re positive for COVID-19.