AI could spot COPD trouble early from home ventilator data

NCT ID NCT07267104

Recruiting now Knowledge-focused Sponsor: Corporacion Parc Tauli Source: ClinicalTrials.gov ↗

First seen Jun 24, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study looks at people with COPD who use a home breathing machine called non-invasive ventilation (NIV). Researchers will use artificial intelligence (AI) to analyze breathing data from the machine, such as airflow and pressure, to find early signs of a flare-up. The study does not change treatment—it only uses data already recorded. The goal is to create a tool that helps patients and doctors manage home NIV more safely.

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 tool that helps doctors spot early warning signs of COPD flare-ups, potentially reducing hospital visits.
What could go wrong: This is an early-stage observational study with only 75 participants. The AI tool may not work as expected or may not apply to all COPD patients.

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 COPD, severe early onset

As listed by the trial registrant

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

COPD (CHRONIC OBSTRUCTIVE PULMONARY DISEASE)

Contacts and locations

Locations

Corporation Parc Tauli de Sabadell
RECRUITING

Sabadell, Barcelona, Spain

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