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MIT Researchers Develop AI Capable Of Testing For COVID-19 Via Cough

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Researchers at the Massachusetts Institute of Technology (MIT) have found a way to use AI in testing for COVID-19 in humans from the sound of their cough. This will help detect the virus in asymptomatic people thus, helping to reduce the spread.

 

The AI utilises neural networks in detecting the changes in a person’s cough to know if they have the virus. Thus, the AI will work even with a lack of symptoms in the person. According to Gizmodo, the researchers found that the “difference between a healthy person’s cough and the cough of someone infected with the virus is so slight that it’s imperceptible to the human ear”.

 

The team then developed the AI to detect these slight differences using thousands of recorded samples of coughs and spoken words. The AI correctly detected 98.5% of coughs from people with confirmed covid-19 cases, and 100% of coughs from asymptomatic people in early tests.

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Gizmodo reports that; “One neural network gauges sound associated with vocal cord strength, while another detects cues related to a person’s emotional state, such as frustration, which can produce a flat affect”.

 

“A third network listens for subtle changes in lung and respiratory performance. The team then combined all three models and overlaid them with an algorithm to detect muscular degradation.”

 

The MIT scientists, however, have one caveat. That is; despite the level of accuracy achieved so far, the AI shouldn’t be a substitute for a COVID-19 test. They say the AI wasn’t built to diagnose people who have active covid-19 symptoms. The team is also reportedly developing a free ‘user-friendly’ app that can people can use as a convenient prescreening tool. Therefore individuals who worry they may have the virus can use the app as a prescreening tool.

 

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