Plain-English translation of NCT05566002 on ClinicalTrials.gov ↗ · Source last updated · Translation generated · How we translate trials
Pulmonary hypertension is a serious condition affecting blood pressure in the lungs, and it's often hard to catch early. This study is developing an artificial intelligence tool that combines information from routine heart and lung tests—like chest X-rays, heart tracings, and ultrasounds—to help doctors spot this condition more accurately and quickly, without relying only on a single ultrasound exam.
Current screening methods, while helpful, don't always catch pulmonary hypertension reliably, especially in its early stages when treatment is most effective. By teaching artificial intelligence to recognize patterns across multiple test results, researchers hope to create a better screening tool that could catch more cases earlier and help doctors decide which patients need further testing.
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If you already have had all the necessary tests at this hospital, your participation is mainly retrospective—your existing test results (chest X-rays, heart tracings, ultrasounds, and catheterization findings) will be collected and used to train the artificial intelligence program. You won't need to undergo new procedures; instead, researchers will analyze the tests you've already completed to help develop and validate this new screening approach.
AI-generated summary from trial data · Jun 16, 2026 · Not medical advice
China
Sponsor
Chinese Pulmonary Vascular Disease Research Group
Enrollment target
~2,000 participants
Started
June 2022
Primary completion
December 2025
This trial's estimated completion date has passed — the record may not be fully up to date.
Age range
18 Years and older
Last updated on clinicaltrials.gov in April 2025.
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Central contact
Zhihong Liu, MD, PhD
Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College
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