It is possible to identify COVID-19 through the sound of coughing

It is possible to identify COVID-19 through the sound of coughing
It is possible to identify COVID-19 through the sound of coughing

Scientists claim that the differences in the coughing sound produced by a COVID-19 patient cannot be perceived by human ears. However, an algorithm developed in the United States proved to have a 98.5% success rate in detecting COVID-19 positive cases.

The artificial intelligence (AI) algorithm was developed in the Massachusetts Institute of Technology (MIT) laboratory. The scientist Brian Subirana, co-author of the study and a researcher at that institution, said: “The way in which sound is produced changes when you have COVID-19, even if you are asymptomatic”, quotes the BBC.

The study, published in the IEEE Journal of Engineering in Medicine and Biology, says that the mechanism could be useful “in the daily screening of students, workers and the public, in schools, workplaces or transportation”.

Several organizations, including the University of Cambridge, Carnegie Mellon University and the start-up Novoic in the UK, are working on similar projects.

In July, the University of Cambridge’s COVID-19 Sounds project reported an 80% success rate in identifying positive cases of coronavirus based on a combination of breathing and sounds.

The COVID-19 pandemic has already claimed more than 1.2 million deaths and more than 46.5 million cases of infection worldwide, according to a report by the French agency AFP.

The disease is transmitted by a new coronavirus detected in late December 2019 in Wuhan, a city in central China.

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