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AI learns to detect lung problems by listening to breath sounds

NCT ID NCT07227376

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 study
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
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study uses digital stethoscopes to record lung sounds from 250 adults and children in real clinical settings. The goal is to train an artificial intelligence algorithm to automatically detect wheezes, crackles, and other abnormal sounds. The research does not test any treatment but aims to improve how lung diseases are diagnosed.

What this could mean

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

Active substance
Eko digital stethoscopes (CORE 500 and 3M Littmann CORE)
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 perform well enough for real-world use, and results may not apply to all patients.

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 250 people

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

Started

Sep 2025

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

Children (under 18), adults (18 to 64) and older adults (65 and over)

Sex

Anyone

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 and pediatric patients (as available) 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

How to take part

Only the study team decides who joins. These are the ways to reach them.

  1. The places running it

    2 sites. The list below names each one and where it is.

  2. The official record

    ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.

    Open the record ↗

  3. A doctor treating you

    A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.

Contacts and locations

Locations

  • Jefferson Einstein Philadelphia Hospital

    RECRUITING

    Philadelphia, Pennsylvania, 19141, United States

  • Nemours Children's Health

    RECRUITING

    Jacksonville, Florida, 32256, United States

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