Plain-English translation of NCT07267104 on ClinicalTrials.gov ↗ · Source last updated · Translation generated · How we translate trials
Researchers are developing an artificial intelligence system to monitor data from home non-invasive ventilation devices (breathing machines) used by people with COPD. The goal is to use this AI to spot warning signs of breathing crises early and help doctors adjust ventilator settings more precisely for each patient's needs.
Current home breathing machines collect detailed information about how well they're working, but doctors don't have good tools to interpret all that data. This trial aims to unlock that information using AI to predict problems before they become emergencies.
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Researchers will collect detailed information from your home ventilator device, including data about how well it's fitting, how your breathing syncs with the machine, and other breathing patterns. They'll analyze this data using AI to see if they can spot patterns that come before breathing crises. You will continue using your ventilator as normal — no additional visits or procedures are required.
AI-generated summary from trial data · Jun 5, 2026 · Not medical advice
Spain
Corporacion Parc Tauli
Enrollment target
~75 participants
Started
March 2025
Primary completion
April 2025
This trial's estimated completion date has passed — the record may not be fully up to date.
Age range
40 Years – 80 Years
Last updated on clinicaltrials.gov in December 2025.
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Central contact
Manel Lujan, Professor MD pHD
Corporacion Parc Tauli
Tell us you're interested and we'll help connect you with the research team. We'll walk you through what to expect first — no email needed to get started.