Clinical Research Directory
Browse clinical research sites, groups, and studies.
Augmented Endobronchial Ultrasound (EBUS-TBNA) With Artificial Intelligence
Sponsor: Norwegian University of Science and Technology
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.
Official title: Automatic Segmentation of Mediastinal Lymph Nodes and Blood Vessels in Endobronchial Ultrasound (EBUS) Images Using a Deep Neural Network
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
50
Start Date
2023-05-01
Completion Date
2027-12-01
Last Updated
2025-08-22
Healthy Volunteers
No
Interventions
machine learning algorithm
Machine learning algorithm run on EBUS images for real-time labelling of mediastinal lymph nodes and lymph node level
Locations (2)
Department of Pulmonology, Levanger Hospital, North Trøndelag Hospital Trust
Levanger, Norway
Department of Thoracic Medicine, St Olavs Hospital
Trondheim, Norway