AI aims to predict lung health drops before they happen

NCT ID NCT07419555

Knowledge-focused Sponsor: KU Leuven Source: ClinicalTrials.gov ↗

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

Summary

This study is testing a machine learning model that uses past lung function tests to predict future changes in 4,000 adults with chronic respiratory diseases. Researchers will check if the model's predictions match real outcomes like hospital visits and health status. The goal is to help doctors catch problems earlier and tailor care to each patient.

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 help doctors spot early signs of worsening lung disease and personalize treatment plans.
What could go wrong: This is an observational study, not a treatment trial. The model may not accurately predict outcomes for all patients, and results may not apply beyond the study group.

This is an AI summary of the original study and may miss details. Read our disclaimer.

Study facts

What this study's own registry entry says, in plain language.

Participants

About 4,000 people

The number the study aims to enrol. It can still change while the study runs.

Started

Mar 2026

Expected to finish

Mar 2029

An estimate. End dates often move.

Lead sponsor

Other sponsor

The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Who is studied

Chronic respiratory diseases

Ages

18 years and older

Sex

Anyone

Healthy volunteers

Not accepted

This study is not open to healthy volunteers. The entry requirements below say who it is open to.

Show the full entry requirements

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion Criteria: * Above 18 years old * Diagnosed with a chronic respiratory disease and followed up in one of the participating Belgian hospitals * Performed a complete lung function test (spirometry, body plethysmography and diffusion capacity) at baseline * Have at least 3 historical spirometry measurements over a minimal time window of 2 years prior to inclusion * Planned routine follow-up within standard clinical care in one of the participating hospitals Exclusion Criteria: * Patients who have had a lung transplantation * Patients not being able to give consent to participate

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As listed by the trial registrant

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

Chronic respiratory diseases

How to take part

Only the study team decides who joins. These are the ways to reach them.

The places running it

4 sites. The list below names each one and where it is.
The official record

ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.

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A doctor treating you

A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.

AI aims to predict lung health drops before they happen

What the study statuses mean