Plain-English translation of NCT07051083 on ClinicalTrials.gov ↗ · Source last updated · Translation generated · How we translate trials
Read our Bladder Cancer research guide →Researchers are building an artificial intelligence system that learns from ultrasound, MRI scans, and tissue samples to better diagnose bladder cancer stage and predict how well chemotherapy will work. About 480 patients will participate by providing imaging scans and tissue samples. The goal is to create a computer tool that can help doctors make more accurate treatment decisions.
Currently, doctors rely on their own interpretation of imaging and pathology to stage bladder cancer and predict treatment response, which can be subjective and variable. This trial aims to create a more precise, consistent method using artificial intelligence to analyze multiple types of medical images together, potentially improving treatment outcomes.
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You will undergo contrast-enhanced ultrasound imaging of your bladder along with standard MRI and CT scans. Tissue samples will be collected during your planned bladder surgery and analyzed. Your medical records, imaging files, and follow-up health information will be included in a research database to help train and test the artificial intelligence system. The study involves no additional treatment — only imaging and use of your existing medical information.
AI-generated summary from trial data · Jun 4, 2026 · Not medical advice
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