AI learns to detect endometriosis in real time during surgery

NCT ID NCT06873373

Completed Knowledge-focused Sponsor: University Hospital Tuebingen Source: ClinicalTrials.gov ↗

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

Summary

This completed study tested an artificial intelligence (AI) model to automatically detect endometriosis lesions in real time during laparoscopic surgery. Researchers used video recordings from 26 patients to train and validate the AI. The goal was to see if the AI could accurately identify endometriosis tissue, which could help surgeons during procedures.

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 AI could help surgeons spot endometriosis lesions more accurately during surgery, potentially improving diagnosis and treatment.
What could go wrong: This was a small, completed study focused on developing and validating the AI model, not testing its effect on patient outcomes. The AI may not work as well in real-world settings or on different equipment.

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.

endometriosis

As listed by the trial registrant

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

ENDOMETRIOSIS

Contacts and locations

Locations

University Hospital Tuebingen, Department of Women's Health

Tübingen, 72076, Germany

More trials for these conditions

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