Plain-English translation of NCT05739331 on ClinicalTrials.gov ↗ · Source last updated · Translation generated · How we translate trials
Researchers are testing whether artificial intelligence can help doctors better see and identify lymph nodes and blood vessels during endobronchial ultrasound (EBUS), a specialized imaging procedure used to examine the chest. The study will first teach the AI system to recognize these structures in recorded ultrasound images, then test whether it can help doctors in real-time during actual procedures. This technology could make the procedure faster, safer, and more accurate for patients being evaluated for lung cancer or other chest conditions.
Doctors sometimes struggle to quickly and accurately identify important structures during chest ultrasound procedures, which can affect how safely and effectively they can take tissue samples. This technology aims to give doctors a real-time 'second opinion' to help them work more precisely and confidently.
You likely qualify if…
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If you qualify, you will undergo an endobronchial ultrasound procedure at one of the participating hospitals — a specialized imaging test where doctors use a thin, flexible scope to look at lymph nodes in your chest and take images. During the second part of the study, the new AI technology will be tested during your actual procedure to see if it helps doctors identify structures more clearly. The study is gathering information from about 50 participants across multiple hospital centers.
AI-generated summary from trial data · Jun 24, 2026 · Not medical advice
Norway
Sponsor
Norwegian University of Science and Technology
Collaborators
Helse Nord-Trøndelag HF, SINTEF Health Research
Enrollment target
~50 participants
Started
May 2023
Primary completion
May 2027
Age range
18 Years and older
Last updated on clinicaltrials.gov in September 2026.
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Central contact
Øyvind Ervik, MD
Norwegian University of Science and Technology
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