AI learns to spot bladder cancer under blue light

NCT ID NCT07144319

First seen Jun 27, 2026 · Last updated Aug 14, 2026 · Updated 1 time

Summary

This study collects video recordings and data from 500 patients undergoing blue light cystoscopy, a procedure where a drug makes cancer cells glow. The goal is to train an artificial intelligence (AI) algorithm to detect bladder lesions in real time, helping doctors make more accurate decisions during routine exams. No new treatments are being tested—only data is being gathered to develop the AI tool.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

Active substance
Hexvix/Cysview (a drug that makes cancer cells glow under blue light)
What this could lead to
If successful, this could lead to an AI tool that helps doctors spot bladder cancer more reliably during cystoscopy, potentially reducing missed lesions.
What could go wrong
This is an early data-collection study, not a treatment trial. The AI is not yet tested in real-time use, and results may not translate into immediate patient benefit.

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

Study contacts

  • Contact

    Email: •••••@•••••

Locations

  • Moffitt Cancer Center

    RECRUITING

    Tampa, Florida, 33612, United States

  • Oslo University Hospital

    RECRUITING

    Oslo, Norway

  • Regents of the University of Michigan

    RECRUITING

    Ann Arbor, Michigan, 48108, United States

  • Rutgers Cancer Institute

    RECRUITING

    New Brunswick, New Jersey, 08901, United States

  • UZ Leuven

    RECRUITING

    Leuven, Belgium

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