AI takes on mysterious uterine tumors: a new hope for accurate diagnosis

NCT ID NCT06540846

Recruiting now Knowledge-focused Sponsor: Institut Bergonié Source: ClinicalTrials.gov ↗

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

Summary

This study is testing whether artificial intelligence can help doctors better classify and predict the behavior of rare smooth muscle tumors of the uterus, including those that are hard to diagnose (called STUMP). Researchers will train AI models on digital images of tumor tissue from 392 patients. The goal is to create a tool that improves diagnosis and helps predict which patients may have a worse outcome.

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 give doctors a powerful AI tool to more accurately diagnose and predict the course of rare uterine tumors, reducing uncertainty for patients.
What could go wrong: This is an early-stage observational study, not a treatment trial. The AI models may not perform well enough in real-world settings, and results 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.

disease leiomyosarcoma of the corpus uteri uterine corpus leiomyoma

As listed by the trial registrant

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

STUMP

Contacts and locations

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Study contacts

Contact

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

Locations

Institut Bergonie
RECRUITING

Bordeaux, France

Contact

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