AI model may forecast prostate cancer recurrence after surgery

NCT ID NCT07682584

Not yet recruiting Knowledge-focused Sponsor: First Affiliated Hospital of Fujian Medical University Source: ClinicalTrials.gov ↗

First seen Jul 06, 2026 · Last updated Jul 07, 2026 · Updated 1 time

Summary

This study looks at men with localized prostate cancer who had robot-assisted surgery to remove the prostate. The goal is to find which factors—like PSA levels, tumor grade, or MRI results—best predict whether the cancer will come back (called biochemical recurrence). Researchers will use patient records and machine learning to build a risk-prediction tool. If accurate, it could help doctors decide who needs closer monitoring or extra treatment after surgery.

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 lead to a predictive model that helps doctors personalize follow-up and treatment decisions after prostate cancer surgery.
What could go wrong: This is a retrospective analysis, so it can show associations but not prove cause and effect. The model needs validation in other groups before it can be used widely.

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.

prostate cancer prostate carcinoma

As listed by the trial registrant

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

BIOCHEMICAL RECURRENCE PROSTATE CANCER

Contacts and locations

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Study contacts

Contact

Phone: •••-•••-•••• Email: •••••@•••••

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