Home › Lung Diseases › NCT07227376

Data Collection Using Eko Digital Devices in a Clinical Setting

Who can join

All ages · All sexes

Inclusion Criteria:

* Suspected or diagnosed lower respiratory condition OR Presence of wheeze, coarse crackle, fine crackle, rhonchus, stridor, rales, and cough discovered during routine auscultation
* Normal patients with no adventitious lung sounds
* Adults and pediatric patients (as available)

Exclusion Criteria:

* Unable to have multiple recordings taken on chest and back (e.g. compromised mobility)
* On mechanical ventilation

About the study

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.

What is being tested

• Eko digital stethoscopes (device)

Sponsor: Eko Devices, Inc. · Participants: 250 · Started: Sep 14, 2025

Contact the study team

• Clinical Research Associate · Phone: 8443563384

Official record on ClinicalTrials.gov — NCT07227376

Locations in the U.S.

Conditions

• Lung Diseases
• Respiratory Sounds

From ClinicalTrials.gov, data retrieved Sep 30, 2026. Each study sets its own eligibility; the study team decides who can join.