Artificial Intelligence-supported Reading Versus Standard Double Reading for the Interpretation of Magnetic Resonance Imaging in the Detection of Local Recurrence for Nasopharyngeal Carcinoma: a Randomised Controlled Multicenter Study

Not yet recruitingOBSERVATIONAL
Enrollment

10,400

Participants

Timeline

Start Date

April 30, 2024

Primary Completion Date

April 30, 2026

Study Completion Date

April 30, 2026

Conditions
Artificial Intelligence Supported Image Reviewing
Interventions
DIAGNOSTIC_TEST

AI

An artificial intelligence model predicts the risk and contours of local recurrence for MR images and triages them before radiologists interpret them.

Trial Locations (1)

510060

Sun Yat-Sen University Cancer Center, Guangzhou

All Listed Sponsors
lead

Sun Yat-sen University

OTHER

NCT06356441 - Artificial Intelligence-supported Reading Versus Standard Double Reading for the Interpretation of Magnetic Resonance Imaging in the Detection of Local Recurrence for Nasopharyngeal Carcinoma: a Randomised Controlled Multicenter Study | Biotech Hunter | Biotech Hunter