AI breathes new life into lung disease diagnosis
NCT ID NCT07447596
First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This study explores whether machine learning can analyze breathing test results to predict chronic respiratory diseases like asthma and COPD. Researchers will compare a newer technique called oscillometry with standard spirometry in 50 adults. The goal is to see if this approach can spot disease patterns more easily.
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 new, easier way to diagnose and predict chronic respiratory diseases using machine learning.
- What could go wrong
- This is a small, early feasibility study. The approach may not prove accurate or practical in real-world settings.
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.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
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Hospital de la Santa Creu i Sant Pau
RECRUITINGBarcelona, 08041, Spain
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Other studies related to the condition(s) this trial covers.
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