AI Evaluation of COVID-19 Sounds (AI-EChOS)

AI Evaluation of COVID-19 Sounds

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.

Inclusion Criteria:

• Adults who tested positive for SARS-CoV-2 currently admitted to hospital at the study site
• Adults who tested negative for SARS-CoV-2 and are admitted for any respiratory condition (eg COPD or asthma flare-up, pneumonia..)
• Healthy volunteers

Exclusion Criteria:

• Patients under the age of 18.
• Patients unable to read in Italian.
• Patients unable to give informed consent to participate.
• Patients requiring life support (including, but not limited to, mechanical cardiac support, ventilation, etc.)
• Patients who are pregnant