AI eye for colonoscopy: could software catch what doctors miss?
NCT ID NCT07744607
First seen Aug 04, 2026 · Last updated Aug 05, 2026 · Updated 1 time
Summary
This trial evaluates an AI-based software tool designed to assist doctors in interpreting colonoscopy images. Using previously collected images and biopsy results from over a thousand patients, the study checks how accurately the AI classifies colorectal lesions as cancerous, precancerous, or benign. The goal is to see if this technology can reliably support doctors in detecting and assessing colorectal conditions during endoscopic exams.
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-based medical device software (ENAD-CADx-01) for endoscopic imaging assistance
- What this could lead to
- If proven accurate, this AI tool could help doctors better identify and classify colorectal lesions during colonoscopy, potentially improving early detection of cancer and reducing unnecessary biopsies.
- What could go wrong
- This is a retrospective study using stored images, not a real-time test. The AI's performance may differ in live procedures, and it may not generalize to other hospitals or patient groups.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
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Asan Medical Center
Seoul, Seoul, 05505, South Korea
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