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

S

San Donato Group (GSD)

Status

Unknown

Conditions

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

Study type

Observational

Funder types

Other

Identifiers

NCT05115097
AI-EChOS

Details and patient eligibility

About

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.

Enrollment

100 estimated patients

Sex

All

Ages

18+ years old

Volunteers

Accepts Healthy Volunteers

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

Trial contacts and locations

1

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Central trial contact

Marco Montagna, Medicine

Data sourced from clinicaltrials.gov

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