AI boosts colonoscopy accuracy for lynch syndrome patients?

NCT ID NCT06654128

Completed Diagnosis Sponsor: Sheba Medical Center Source: ClinicalTrials.gov ↗

First seen Jun 24, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study tested whether using artificial intelligence (AI) during colonoscopy helps find more polyps in people with Lynch syndrome, a genetic condition that raises colon cancer risk. One hundred participants each had two colonoscopies back-to-back, with the second using either standard high-definition white light or AI assistance. The goal was to see if AI catches polyps that standard methods might miss.

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 (GI Genius) as a diagnostic aid during colonoscopy
What this could lead to: If successful, AI-assisted colonoscopy could become a new standard for detecting precancerous polyps earlier in people with Lynch syndrome.
What could go wrong: This is a small, completed trial with 100 participants. The AI may not significantly improve detection, and results may not apply to all hospitals or populations.

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.

Colorectal Neoplasms, Hereditary Nonpolyposis Lynch syndrome

As listed by the trial registrant

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

LYNCH SYNDROME

Contacts and locations

Locations

Sheba Medical Center

Ramat Gan, 5262000, Israel

More trials for these conditions

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