Augmented Endobronchial Ultrasound (EBUS-TBNA) With Artificial Intelligence
Recruiting · NCT05739331 · Observational (researchers observe without assigning treatment)
View the official record on ClinicalTrials.gov →Interventions studied
machine learning algorithm
What this trial is about
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.
Who can take part
Age range
18 Years and older
Sex
All (male and female)
Healthy volunteers
No - a diagnosis or condition is required
Phase
Not specified
Study type
Observational (researchers observe without assigning treatment)
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 age
Exclusion criteria
- Pregnancy
- Any patient that the Investigator feels is not appropriate for this study for any reason.
Where it is running
2 locations listed.
- Department of Pulmonology, Levanger Hospital, North Trøndelag Hospital Trust - Levanger, Norway
- Department of Thoracic Medicine, St Olavs Hospital - Trondheim, Norway