Clinical Trial

Construction of a Deep Learning-Based Precise Diagnostic Framework for Bladder Tumors Using Ultrasound: A Multicenter, Ambispective Cohort Study

Study acronym: BCA-AI-US
Recruiting
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Record status
This record was last updated August 17, 2025 (before its estimated May 1, 2026 completion). Its status may not reflect the trial's current state.
Summary
This study aims to develop an ultrasound image-based deep learning system to enable automatic segmentation, T-staging, and pathological grading prediction of bladder tumors. It seeks to enhance the objectivity, accuracy, and efficiency of bladder cancer diagnosis, reduce reliance on physician experience, and provide support for precision medicine and resource optimization.
Protocol Amendment History 1 amendment
This ClinicalTrials.gov record has been amended once since 2025-08-01.
Status change: Active, Not Recruiting → Recruiting 2025-08-13
Trial Details
NCT Number NCT07111364
Lead Sponsor Peking University First Hospital
Conditions Deep Learning, Ultrasound, Bladder Cancer
Enrollment 400 participants
Start Date 2025-05-27
Primary Completion 2026-05-01 (estimated)
Study Completion 2026-05-31 (estimated)
Updated on ClinicalTrials.gov 2025-08-17