AI lends a hand in the operating room to stop bleeding faster

NCT ID NCT07495137

Not yet recruiting Symptom relief Sponsor: Qilu Hospital of Shandong University Source: ClinicalTrials.gov ↗

First seen Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study tests whether a real-time artificial intelligence system can help doctors find and stop bleeding faster during a minimally invasive surgery called endoscopic submucosal dissection (ESD), used to remove early-stage digestive tract cancers. About 160 patients will be randomly assigned to have the surgery with or without AI assistance. The main goal is to see if the AI shortens the time it takes to stop each bleed, and the study will also track complications and total surgery time.

What this could mean

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

Active substance: Artificial intelligence software that identifies bleeding points in real time during endoscopy
What this could lead to: If it works, this could make a common cancer-removal surgery safer and faster by helping doctors stop bleeding more quickly.
What could go wrong: This is an early-stage trial with only 160 people, so results may not apply to all patients. The AI might not work well in every case or could miss some bleeding points.

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.

precancerous condition

As listed by the trial registrant

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

ENDOSCOPIC SUBMUCOSAL DISSECTION ENDOSCOPIC SUBMUCOSAL DISSECTION (ESD)

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