Department of Urology, Peking University First Hospital
Beijing, 100034, China
Location status: Recruiting
NCT Number: NCT07111364
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.
Interested in participating?
Request Info18 year–85 year
All sexes
Observational
Beijing, 100034, China
Location status: Recruiting
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
① Suspected bladder mass detected by abdominal ultrasound (age ≥18 years);② Patients scheduled for surgical treatment of bladder tumors.
Exclusion criteria
observational diagnostic model development
Time frame: From may 2025 to may 2027
Contact information is provided by the study sponsor or research team.
Peking University First Hospital
Other
Construction of a Deep Learning-Based Precise Diagnostic Framework for Bladder Tumors Using Ultrasound
Acronym: BCA-AI-US
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View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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