The Development, Safety, and Feasibility of an Artificial Intelligence-Powered Platform (NodeAI) for Real-Time Prediction of Mediastinal Lymph Node Malignancy During Endobronchial Ultrasound Staging for Lung Cancer

NARecruitingINTERVENTIONAL
Enrollment

600

Participants

Timeline

Start Date

January 10, 2025

Primary Completion Date

December 31, 2026

Study Completion Date

December 31, 2026

Conditions
Lung CancerNon Small Cell Lung Cancer
Interventions
DIAGNOSTIC_TEST

NodeAI

The ultrasound video and images of each LN will be analyzed by NodeAI, which will assign a CLNS for each LN based on the four ultrasonographic features of the CLNS, predict LN malignancy, and determine whether to biopsy it or not.

DIAGNOSTIC_TEST

Surgeon

The ultrasound video and images of each LN will first be analyzed by the surgeon, who will assign a CLNS for each LN based on the four ultrasonographic features of the CLNS, predict LN malignancy, and determine whether to biopsy it or not.

Trial Locations (1)

L8N 4A6

RECRUITING

St. Joseph's Healthcare Hamilton / McMaster University, Hamilton

All Listed Sponsors
lead

St. Joseph's Healthcare Hamilton

OTHER