Digital stethoscopes aim to teach AI to detect lung diseases

NCT ID NCT07270744

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

First seen Jun 24, 2026 · Last updated Jun 27, 2026 · Updated 2 times

Summary

This study uses digital stethoscopes to record lung sounds from 200 adults, including those with and without lung conditions. The goal is to collect enough data to train artificial intelligence to automatically identify abnormal breathing sounds like wheezes and crackles. Participants will have their lung sounds recorded during routine checkups, and the recordings will be used to develop better diagnostic tools.

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 AI tools that help doctors quickly identify lung problems by listening to breathing sounds.
What could go wrong: This is an early data-collection study, not a treatment trial. The AI may not work well in all patients or settings, and results may take years to develop into a usable tool.

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

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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

P. D. Hinduja Hospital and Medical Research Centre
RECRUITING

Mumbai, Maharashtra, 400016, India

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