They developed a new method using artificial intelligence to diagnose infection by analyzing the sound of coughing through an audio recording on the phone.
The researchers trained the artificial intelligence model on tens of thousands of cough samples and spoken words, and the model succeeded with an accuracy of 98.5% in diagnosing injuries through coughing, including 100% of people who did not show any symptoms.
The team is working on integrating the model into an easy-to-use application that, if approved and widely approved, could be a free, convenient, and non-scalable pre-screening tool to identify people with COVID-19 without symptoms.
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