MedTrace Logo

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

NCT05115097 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 100

Last updated 2022-01-18

No results posted yet for this study

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.

Conditions

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

Sponsors & Collaborators

  • IRCCS San Raffaele

    lead OTHER

Principal Investigators

  • Marco Montagna, Medicine · Vita-Salute San Raffaele University

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2021-09-20
Primary Completion
2022-09-30
Completion
2022-12-31

Countries

  • Italy

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05115097 on ClinicalTrials.gov