Development and Prospective Validation of a Multimodal Fusion Artificial Intelligence Model for Predicting the Efficacy of Neoadjuvant Treatment of Bladder Cancer

RecruitingOBSERVATIONAL
Enrollment

550

Participants

Timeline

Start Date

January 1, 2022

Primary Completion Date

December 31, 2025

Study Completion Date

December 31, 2025

Conditions
CancerNeoadjuvant Therapy
Interventions
DIAGNOSTIC_TEST

Artificial intelligence (AI)-based diagnostic model

Collect magnetic resonance imaging and pathological slides of resected tumor of the enrolled patients. Analyze the data using the AI model to generate diagnostic results (sensitive or insensitive to the neoadjavant therapy). No intervention to patients would be performed in this diagnostic test study.

Trial Locations (1)

510080

RECRUITING

Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou

All Listed Sponsors
lead

Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University

OTHER