In this study the investigators record sounds of voice, breaths and cough of subjects who tested positive for COVID19. The investigators then feed these sounds into an artificial intelligence and see if it can learn to recognise features to make COVID19 diagnosis from these sounds in order to avoid to use swabs to test the general population.
Study Type
OBSERVATIONAL
Enrollment
100
San Raffaele Hospital and Scientific Institute
Milan, (Mi), Italy
RECRUITINGAccuracy evaluation
The investigators will evaluate the accuracy of the ML algorithm in terms of sensitivity and specificity and ROC-AUC
Time frame: September 2022-December 2022
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