AI aims to predict lung health drops before they happen

NCT ID NCT07419555

Recruiting now 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.

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As listed by the trial registrant

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

CHRONIC RESPIRATORY DISEASES

Contacts and locations

Locations

AZ Delta
NOT_YET_RECRUITING

Roeselare, 8800, Belgium
UZ Antwerpen
NOT_YET_RECRUITING

Edegem, 2650, Belgium
UZ Leuven
RECRUITING

Leuven, 3000, Belgium
Ziekenhuis Oost-Limburg
NOT_YET_RECRUITING

Genk, 3600, Belgium

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