AI could replace biopsies for bladder cancer testing
NCT ID NCT07454941
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study enrolls 4,000 people with urothelial carcinoma to test whether artificial intelligence can predict HER2 expression using MRI scans and pathology images. The goal is to create a model that accurately assesses HER2 status without needing invasive biopsies, helping doctors decide on targeted therapy faster. Researchers will also use AI to diagnose tumor type, grade, and invasiveness from pre-treatment images.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- Active substance
- Artificial intelligence model
- What this could lead to
- If successful, this AI model could quickly and accurately predict HER2 status from MRI scans, helping doctors choose the right targeted therapy without needing a biopsy.
- What could go wrong
- This is an early-stage model validation study, not a treatment trial. The AI may not be accurate enough in real-world settings, and results may not apply to all patients or hospitals.
This is an AI summary of the original study and may miss details. Read our disclaimer.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
-
National Cancer Center / Cancer Hospital, Chinese Academy of Medical Sciences Beijing
Beijing, Chaoyang District, 100021, China
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Other studies related to the condition(s) this trial covers.
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