AI learns to listen: digital stethoscope study aims to spot lung problems
NCT ID NCT07270744
First seen Jan 05, 2026 · Last updated May 24, 2026 · Updated 19 times
Summary
This study gathers lung sound recordings from 200 adults (with and without breathing conditions) using digital stethoscopes in real clinics. The goal is to train machine learning algorithms to automatically detect wheezes, crackles, and other abnormal sounds. No treatment is given; the focus is purely on improving diagnosis through data collection.
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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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Contacts and locations
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Locations
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P. D. Hinduja Hospital and Medical Research Centre
RECRUITINGMumbai, Maharashtra, 400016, India
Contact Phone: •••-•••-•••• Email: •••••@•••••
Conditions
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