AI could help predict risks after bladder cancer surgery

NCT ID NCT05204186

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

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.

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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

Contacts and locations

Locations

CHU Amiens Picardie
RECRUITING

Amiens, Picardie, 80054, France

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