AI takes on colon cancer: can a computer beat the doctor at spotting dangerous polyps?

NCT ID NCT04921488

Completed Diagnosis Sponsor: University Hospital, Bordeaux Source: ClinicalTrials.gov ↗

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

Summary

This study tested whether an artificial intelligence system called CAD EYE can accurately predict if colon polyps are cancerous during a screening colonoscopy. Researchers compared the AI's predictions to the doctor's judgment and the final lab results. The goal is to see if AI can improve accuracy and reduce costs in colorectal cancer screening.

What this could mean

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

Active substance: CAD EYE artificial intelligence system
What this could lead to: If successful, this AI tool could help doctors spot cancerous polyps more accurately during routine colonoscopies, potentially reducing unnecessary biopsies and costs.
What could go wrong: This is a completed, moderate-sized study (194 people). The AI may not be as accurate as hoped, and results may not apply to all populations or settings.

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 neoplasm intestinal polyp

As listed by the trial registrant

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

COLONOSCOPY COLORECTAL NEOPLASMS DEEP LEARNING INTESTINAL POLYPS

Contacts and locations

Locations

CHU d'Angers

Angers, 49100, France
Centre Hospitalier Universitaire de Bordeaux

Talence, 33404, France
Hopital Américain

Neuilly-sur-Seine, 92200, France
Hôpital Européen Georges Pompidou

Paris, 75015, France
Hôpital Saint Antoine

Paris, 75012, France

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