AI listens to your lungs: could a digital stethoscope spot disease?
NCT ID NCT07360522
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.
Disclaimer
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This is a summary of
the original study
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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.
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.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
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Locations
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Care United Research
Forney, Texas, 75126, United States