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

IRCCS San Raffaele100 enrolled

Overview

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

Conditions

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

Eligibility

Sex: ALLMin age: 18 YearsHealthy volunteers:

Medical Language ↔ Plain English

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

Locations (1)

San Raffaele Hospital and Scientific Institute

Milan, (Mi), Italy

RECRUITING

Outcomes

Primary Outcomes

Accuracy 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

Central Contacts

Marco Montagna, Medicine

CONTACT

+390226439744 montagna.marco@hsr.it

Data from ClinicalTrials.gov

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