Augmented Endobronchial Ultrasound (EBUS-TBNA) With Artificial Intelligence
Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18+
SponsorNorwegian University of Science and Technology
About this trial
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
Qualifiers
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 age
Disqualifiers
Pregnancy
Any patient that the Investigator feels is not appropriate for this study for any reason.
Trial design
Treatments tested in this trial
- machine learning algorithm
Treatment groups
No treatment groups listed
Sponsors and collaborators
Norwegian University of Science and Technology
Lead sponsor
Helse Nord-Trøndelag HF
Collaborator
SINTEF Health Research
Collaborator
Source ClinicalTrials.gov