Plain-English translation of NCT07111364 on ClinicalTrials.gov ↗ · Source last updated · Translation generated · How we translate trials
Researchers are building an artificial intelligence system trained on ultrasound images to help doctors more accurately diagnose and stage bladder tumors. The goal is to make bladder cancer diagnosis faster, more consistent, and less dependent on individual doctor experience. If you have a suspected bladder mass and are already scheduled for surgery, your ultrasound images may help train this computer system to help future patients.
Right now, diagnosing bladder cancer relies heavily on a doctor's experience reading ultrasound images, which can vary from person to person. This trial aims to create a computer tool that can consistently and accurately identify bladder tumors and predict their stage and type, which could improve care for all patients with bladder cancer.
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You will have ultrasound images of your bladder taken as part of your regular care before your scheduled surgery. The study collects these images and your surgical results to train the artificial intelligence system. Since you are already planning to have surgery for your bladder tumor, this study does not add extra procedures — it simply uses your existing medical information to help develop a better diagnostic tool.
AI-generated summary from trial data · Jun 7, 2026 · Not medical advice
China
Sponsor
Peking University First Hospital
Enrollment target
~400 participants
Started
May 2025
Primary completion
May 2026
This trial's estimated completion date has passed — the record may not be fully up to date.
Age range
18 Years – 85 Years
Last updated on clinicaltrials.gov in August 2025.
Reach out to the team running this trial. Response times vary — some teams are faster than others.
Central contact
Zheng Zhang
Peking University First Hospital
Tell us you're interested and we'll help connect you with the research team. We'll walk you through what to expect first — no email needed to get started.