Plain-English translation of NCT05825014 on ClinicalTrials.gov ↗ · Source last updated · Translation generated · How we translate trials
This study uses artificial intelligence and machine learning — computer programs trained to recognize patterns — to predict which patients with chronic obstructive pulmonary disease (COPD) are most likely to need hospital admission. By analyzing medical records from thousands of patients in Hong Kong, researchers hope to identify early warning signs that could help doctors intervene before a health crisis occurs.
Hospital readmissions for COPD are very common and costly, affecting both patients and healthcare systems. While artificial intelligence shows promise in medical prediction, few studies have proven it works better than traditional methods or that it can be reliably used in real patient care. This research aims to fill that gap.
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This is not a treatment study — you will not receive medication or undergo procedures. Instead, researchers will access and analyze your existing hospital discharge records and breathing test results from your past medical visits. The study uses data that has already been collected, so your main participation is allowing researchers to use your medical information for this artificial intelligence analysis.
AI-generated summary from trial data · Jun 2, 2026 · Not medical advice
Hong Kong
Enrollment target
~100,000 participants
Started
August 2023
Primary completion
April 2027
Age range
40 Years and older
Last updated on clinicaltrials.gov in March 2026.
Reach out to the team running this trial. Response times vary — some teams are faster than others.
Central contact
Fanny Ko, MD
Chinese University of Hong Kong
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.