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Data Collection Using Eko Digital Devices in a Clinical Setting

NCT07227376 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 250

Last updated 2025-12-05

No results posted yet for this study

Summary

The purpose of this research is to prospectively train and validate an artificial intelligence machine learning (ML) algorithm to detect the presence of adventitious lung sounds in adults. Clinicians will use the Eko CORE and/or Eko CORE 500 device(s) in real clinical settings to collect normal and abnormal lung sounds, as part of standard of care clinical practice, which will then be used to explore an ML algorithm for classifiers for wheeze, coarse crackle, fine crackle, rhonchus, stridor, rales, and cough, as well as determine any correspondences between the type and/or location of adventitious lung sounds and the type of pulmonary conditions as reported by clinicians.

Conditions

  • Lung Diseases

Interventions

DEVICE

Eko digital stethoscopes

Use of the Eko CORE 500 digital stethoscope and 3M Littmann CORE Digital Stethoscope to listen for and record lung sounds.

Sponsors & Collaborators

  • Eko Devices, Inc.

    lead INDUSTRY

Eligibility

Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-09-14
Primary Completion
2026-04-01
Completion
2026-07-01

Countries

  • United States

Study Locations

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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 NCT07227376 on ClinicalTrials.gov