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AI stethoscope could spot lung disease patterns

NCT ID NCT06399094

Terminated Knowledge-focused Sponsor: Groupe Hospitalier de la Region de Mulhouse et Sud Alsace Source: ClinicalTrials.gov ↗

First seen Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study tested whether artificial intelligence can detect and classify abnormal lung sounds in people with cystic fibrosis, COPD, or pulmonary fibrosis. Researchers recorded lung sounds with an electronic stethoscope during routine checkups and analyzed them using AI. The goal was to see if this method could help monitor disease severity, but the study was terminated early with only 23 participants.

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 a non-invasive, AI-based tool to help doctors monitor lung disease progression using a simple stethoscope.
What could go wrong
This was a very small, terminated study (23 participants) with no treatment being tested. The approach is still early and may not prove reliable enough for routine use.

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.

chronic obstructive pulmonary disease cystic fibrosis pulmonary fibrosis

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

CHRONIC OBSTRUCTIVE PULMONARY DISEASE CYSTIC FIBROSIS PULMONARY FIBROSIS

Contacts and locations

Locations

  • GHRMSA - Hôpital Emile Muller

    Mulhouse, Haut-Rhin, 68100, France

  • Hôpitaux Universitaire de Strasbourg

    Strasbourg, Bas-Rhin, 67000, France

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