AI Evaluation of COVID-19 Sounds

IRCCS San Raffaele1 site in 1 country100 target enrollmentSeptember 20, 2021

ConditionsCOVID-19 COVID-19 Respiratory Infection Cough Breathing Sound Breathing, Mouth

Overview

Phase: Not Applicable
Intervention: Not specified
Conditions: COVID-19
Sponsor: IRCCS San Raffaele
Enrollment: 100
Locations: 1
Primary Endpoint: Accuracy evaluation
Last Updated: 4 years ago

Overview Investigators Eligibility Criteria Outcomes Sites Similar Trials

Overview

Brief Summary

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.

Registry

clinicaltrials.gov

Start Date

September 20, 2021

End Date

December 2022

Last Updated

4 years ago

Study Type

Observational

Sex

All

Investigators

Sponsor

IRCCS San Raffaele

Responsible Party

Principal Investigator

Emanuele Bosi

Clinical Professor, Head of Endocrino-Metabolic and Diabetologic Medicine

IRCCS San Raffaele

Eligibility Criteria

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
•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