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MIT Researchers have developed an AI pre-screening tool that can accurately detect if someone has COVID-19 via audio of their cough. The breakthrough technology could be embedded into a smartphone app and distributed to the general population, used even before clinical testing to recognize if someone is infected. With the second coronavirus wave arriving in Europe and the US, the AI pre-screening tool could be an effective bet to screen for asymptomatic patients.
The paper, titled “COVID-19 Artificial Intelligence Diagnosis using only Cough Recordings,” was recently published in the IEEE Journal of Engineering in Medicine and Biology, specifies that the AI pre-screening tool distinguishes asymptomatic people from healthy individuals through forced-cough recordings.
Lead researcher of the study Jordi Laguarta, and co-researchers Ferran Hueto and Brian Subirana, along with their team, used the AI tool to test tens of thousands of audio cough samples. Their AI tool had a 98.5% accuracy rating for identifying coughs from people with COVID-19, including 100% of coughs from asymptomatic people.
According to MIT News, the researchers are planning to integrate the new AI tool into a smartphone app that would allow users to log in on a daily basis to record a cough and get real-time results of whether they’re infected or not. Upon FDA-approval, the app could be a transformative pre-screening tool.
The researchers said, “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.”
They concluded: “Pandemics could be a thing of the past if pre-screening tools are always on in the background and constantly improved.”
What’s scarier than contracting the virus is the encroaching surveillance state. If the app is packaged up, cleared by the FDA, and distributed the millions, who exactly will be receiving this data?
Will an app user who is flagged for a possible infection be monitored via the smartphone’s GPS?
These are some of the questions readers should be asking.
