AI learns to detect lung problems by listening to breath sounds

NCT ID NCT07227376

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.

Disclaimer Read more

This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.

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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.

Contacts and locations

Study contacts

  • Contact

    Phone: •••-•••-•••• Email: •••••@•••••

Locations

  • Jefferson Einstein Philadelphia Hospital

    RECRUITING

    Philadelphia, Pennsylvania, 19141, United States

  • Nemours Children's Health

    RECRUITING

    Jacksonville, Florida, 32256, United States

    Contact Phone: •••-•••-•••• Email: •••••@•••••