MIT builds AI which can detect Covid-19 by listening to your cough

Covid-19 is a part of the challenge in controlling the coronavirus pandemic is in identifying and isolating infected people quickly.
However, COVID-19 symptoms are not always noticeable, especially early on.

Now scientists have developed a new artificial intelligence model that can detect the virus in an easy way.

AI tool uses neural networks that can figure out changes in people cough point whether they are infected.

Sick woman surround microbes is wearing face mask. Concept of Coronavirus epidemic and viral infectious disease. Vector illustration.

As Covid-19 picks up pace again, researchers at the Massachusetts Institute of Technology have devised a method to detect whether a person has contracted the virus by analyzing the sound of their cough.

Asymptomatic people infected with Covid-19 are a vector for the virus.

If they have contracted the virus because they show no symptoms and might infect others without even realizing it. Evidence shows that the AI can spot differences in coughing that can’t be heard with the human ear.

This device can detection the system can be incorporated into a device like a smartphone, the research team thinks it could become a useful early screening tool.

The co-author Brian Subirana says that implementation of this group symptomatic tool could diminish the spread of the pandemic.

If everyone uses it before going to a classroom, a factory, or a restaurant, a research scientist at MIT’s Auto-ID Laboratory.

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.