MedTrace Logo

Augmented Endobronchial Ultrasound (EBUS-TBNA) With Artificial Intelligence

NCT05739331 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 50

Last updated 2025-08-22

No results posted yet for this study

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.

Conditions

  • Artificial Intelligence
  • Endobronchial Ultrasound
  • Lung Cancer

Interventions

DEVICE

machine learning algorithm

Machine learning algorithm run on EBUS images for real-time labelling of mediastinal lymph nodes and lymph node level

Sponsors & Collaborators

  • Helse Nord-Trøndelag HF

    collaborator OTHER

  • SINTEF Health Research

    collaborator OTHER

  • Norwegian University of Science and Technology

    lead OTHER

Principal Investigators

  • Øivind Rognmo, Dr.philos · Norwegian University of Science and Technology

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2023-05-01
Primary Completion
2027-05-01
Completion
2027-12-01

Countries

  • Norway

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05739331 on ClinicalTrials.gov