Could a smartphone photo of stool help detect colon cancer?

NCT ID NCT07740122

Recruiting now Diagnosis Sponsor: Servicio de Salud Metropolitano Sur Oriente Source: ClinicalTrials.gov ↗

First seen Jul 31, 2026 · Last updated Jul 31, 2026

Summary

This study is testing whether artificial intelligence can analyze photos of stool to help assess colorectal cancer risk. Adults referred for a colonoscopy will take pictures of their stool using a mobile app, and the AI's analysis will be compared with standard fecal immunochemical test (FIT) results. The goal is to see if AI image analysis could serve as a non-invasive screening tool, though it is not intended to replace clinical diagnosis.

What this could mean

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

Active substance: AI-based stool image analysis using the FAEX Health mobile application
What this could lead to: If successful, this could lead to a non-invasive, at-home screening tool for colorectal cancer risk, potentially reducing the need for invasive procedures.
What could go wrong: This is an observational study, so it won't prove the AI can replace standard tests. The AI output is for research only and may not be accurate enough for clinical use.

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

As listed by the trial registrant

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

COLORECTAL NEOPLASMS

Contacts and locations

Locations

Hospital Sotero del Rio
RECRUITING

Santiago, Santiago Metropolitan, 8207257, Chile

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