Cure My Disease

Don't miss your cure!

 Log in / Sign up

AI reads prostate cancer scans: could it help doctors stage tumors faster?

NCT ID NCT07707232

Recruiting now Knowledge-focused Sponsor: First Affiliated Hospital of Wenzhou Medical University Source: ClinicalTrials.gov ↗

First seen Jul 16, 2026 · Last updated Jul 22, 2026 · Updated 3 times

Summary

This study tests whether a large language model (a type of AI) can accurately stage prostate cancer by reading Chinese PSMA PET/CT reports. Researchers will compare the AI's staging against expert doctors' assessments using thousands of de-identified reports. The goal is to see if AI can reliably identify cancer stage and uncertainty in the report text, potentially aiding clinical workflows.

What this could mean

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

Active substance
Large language model-assisted report annotation workflow
What this could lead to
If successful, this could lead to faster, more consistent staging of prostate cancer from imaging reports, helping doctors make better treatment decisions.
What could go wrong
This is an early, observational study using historical reports, so the model may not perform well in real-world settings or on different types of data.

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

Get updates

Get notified about this study

Sign up to get updates when this study changes or when new studies for PROSTATE CANCER are added.

Our safety recommendation!

By submitting, you agree to our Terms of use

Conditions

The condition(s) this trial relates to.

prostate cancer

As listed by the trial registrant

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

PROSTATE CANCER

Contacts and locations

Study contacts

  • Contact

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

  • Contact

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

Locations

  • The First Affiliated Hospital of Wenzhou Medical University

    RECRUITING

    Wenzhou, Zhejiang, China

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

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

More trials for these conditions

Other studies related to the condition(s) this trial covers.