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AI could help predict risks after bladder cancer surgery

NCT ID NCT05204186

Knowledge-focused Sponsor: Centre Hospitalier Universitaire, Amiens Source: ClinicalTrials.gov ↗

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now This study
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study looks at how other medical conditions (comorbidities) affect recovery and survival in 500 bladder cancer patients after bladder removal surgery. Researchers will use artificial intelligence to analyze patient data and find patterns that could help doctors make better treatment decisions. The goal is to improve guidelines and care for people with bladder cancer.

What this could mean

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

What this could lead to
If successful, this could help doctors better predict which bladder cancer patients are at higher risk after surgery, leading to more personalized care.
What could go wrong
This is an observational study, not a treatment trial. The AI model may not work as expected or may not apply to all patients.

This is an AI summary of the original study and may miss details. Read our disclaimer.

Study facts

What this study's own registry entry says, in plain language.

Participants

About 500 people

The number the study aims to enrol. It can still change while the study runs.

Started

Aug 2021

Expected to finish

Dec 2028

An estimate. End dates often move.

Lead sponsor

Other sponsor

The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Who is studied

This is a retrospective analysis of data from patients treated by radical cystectomy in our institution from 01 January 2006 to 01 January 2021. Qualitative and quantitative standard tumour data elements will be retrieved from medical files and certified General Cancer Registry. Data collection will be conducted from 9/2021 to 9/2022. Data management and analysis will be conducted from 1/2023 to 12/2024.

Ages

18 years and older

Sex

Anyone

Healthy volunteers

Not accepted

This study is not open to healthy volunteers. The entry requirements below say who it is open to.

Show the full entry requirements

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion Criteria: * 18 years and older * Patient treated by radical cystectomy for bladder cancer Exclusion Criteria: * Computed tomography/magnetic resonance evidence of distant metastases.

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Conditions

The condition(s) this trial relates to.

urinary bladder carcinoma Urinary Bladder Neoplasms

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

Bladder cancer Comorbidity Deep learning

How to take part

Only the study team decides who joins. These are the ways to reach them.

  1. The places running it

    1 site. The list below names each one and where it is.

  2. The official record

    ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.

    Open the record ↗

  3. A doctor treating you

    A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.

Contacts and locations

Locations

  • CHU Amiens Picardie

    RECRUITING

    Amiens, Picardie, 80054, France

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