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NCT05739331
Augmented Endobronchial Ultrasound (EBUS-TBNA) With Artificial Intelligence
Conditions: Artificial Intelligence, Endobronchial Ultrasound, Lung Cancer
Sex: All
Ages: 18 Years – N/A
Enrollment: 50
Sponsor: Norwegian University of Science and Technology
Location: Norway
Summary
To evaluate the usefulness of Deep neural network (DNN) in the evaluation of mediastinal and hilar lymph nodes with Endobronchial ultrasound (EBUS).
The study will explore the feasibility of DNN to identify lymph nodes and blood vessel examined with EBUS.
Eligibility Criteria
Inclusion Criteria:Subjects referred to thoracic department in any of the participating hospitals with undiagnosed enlarged mediastinal and hilar lymph nodes.Subjects have to be ≥ 18 years of ageExclusion Criteria:PregnancyAny patient that the Investigator feels is not appropriate for this study for any reason.
Source: ClinicalTrials.gov (NCT05739331). StuddyBuddy aggregates publicly available trial information.