Researchers at Massachusetts Institute of Technology (MIT) developed an artificial intelligence (AI) model able to detect asymptomatic COVID-19 cases by identifying differences in the sounds of coughs between healthy and infected people. The model is built on previous research the group developed to identify conditions like pneumonia, asthma and even Alzheimer's disease. It is actually the Alzheimer's model that was adapted for the COVID-19 algorithms.
"The sounds of talking and coughing are both influenced by the vocal cords and surroundings organs," said Brian Subirana, co-author, and a researcher scientist in MIT's Auto-ID Laboratory. "Things we easily derive from fluent speech, AI can pick up simply from coughs, including things like the person's gender, mother tongue or even emotional state. There's in fact sentiment embedded in how you cough."
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