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AI listens to your lungs: could a digital stethoscope spot disease?

NCT ID NCT07360522

Knowledge-focused Sponsor: Eko Devices, Inc. Source: ClinicalTrials.gov ↗

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing This study
Running, but no longer taking on new participants.
Completed
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

First seen Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study is gathering lung sounds from 750 adults—both healthy volunteers and those with breathing issues—using special digital stethoscopes. The goal is to build an artificial intelligence algorithm that can automatically detect abnormal sounds like wheezes or crackles. If it works, doctors might one day get a faster heads-up about lung conditions.

What this could mean

Our plain-language read of the trial. This is informational only, not medical advice or a prediction.

What this could lead to
If successful, this could lead to an AI tool that helps doctors quickly identify lung problems by listening to breath sounds.
What could go wrong
This is an early data-collection study, not a treatment trial. The AI algorithm may not work as hoped or may need much more testing before it can be used in practice.

This is an AI summary of the original study and may miss details. Read our disclaimer.

Study facts

What this study's own registry entry says, in plain language.

Participants

About 750 people

The number the study aims to enrol. It can still change while the study runs.

Started

Aug 2024

Expected to finish

Nov 2027

An estimate. End dates often move.

Lead sponsor

A company

The lead sponsor is a pharmaceutical, biotech, or medical-device company.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Who is studied

Potential research subjects with complaints of shortness of breath or relevant diagnoses like COPD/heart failure/asthma will be screened for eligibility from the upcoming clinic schedule and then recruited during their clinical appointment. Inpatients may also be identified from the EHR and recruited from inpatient units. In order to achieve the harder-to-fill buckets, it may be necessary to directly target existing registries or patient databases, and/or bring patients in for a research-specific visit. Additionally, patients seen in clinic or in hospital with no known respiratory condition will be recruited and evaluated.

Ages

18 years and older

Sex

Anyone

Healthy volunteers

Accepted

You do not need to have the condition being studied to take part.

Show the full entry requirements

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

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 patients (18 years or older) Exclusion Criteria: * Unable to have multiple recordings taken on chest and back (e.g. compromised mobility) * On mechanical ventilation

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Conditions

The condition(s) this trial relates to.

lung disorder Respiratory Sounds

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

Lung diseases

Contacts and locations

Locations

  • Care United Research

    Forney, Texas, 75126, United States

More trials for these conditions

Other studies related to the condition(s) this trial covers.