Clinical trial Recruiting at 1 site Observational Ages 18 and up

AI-powered stool image analysis to see if it matches FIT results in colorectal cancer screening

Official title: FECAL-AI: Prospective Observational Validation of AI-Based Stool Image Analysis Against Quantitative Fecal Immunochemical Testing for Colorectal Neoplasia Risk Assessment

Run by Servicio de Salud Metropolitano Sur Oriente · NCT07740122 · Data updated 2026-11-12

We’re testing whether AI-derived features from stool images can align with FIT results in adults being screened or evaluated for colorectal neoplasia.

More Colorectal Neoplasms trials

Quick facts

Study typeObservational
Ages18 Years and up
SexAll
Enrollment250 (estimated)
SponsorServicio de Salud Metropolitano Sur Oriente
Government
Locations1 site (Santiago, Santiago Metropolitan)
StatusRecruiting
StartedMay 8, 2026
Main results expectedDecember 2026
Study endsDecember 2026
Registry record updatedJuly 31, 2026
Trial IDNCT07740122 on ClinicalTrials.gov

Is this trial a fit for you?

Likely a good fit

Adults 18 or older referred for screening or diagnostic colonoscopy and planned/completed FIT testing within a 30-day window.

Probably not a fit

Patients whose stool images do not yield informative AI features or whose results do not correlate with FIT or pathology may not experience any direct benefit.

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This is a prospective observational substudy focusing on adults undergoing colorectal cancer screening or diagnostic evaluation. Participants take stool images with the FAEX Health mobile app, which are analyzed by AI algorithms to extract visual features. The study compares AI outputs with quantitative FIT values and FIT positivity, and explores associations with colonoscopy and histopathology when available. Researchers will keep AI results non-diagnostic and separate from clinical decisions, and personal identifiers will be kept separate from the images. This substudy builds on a broader project and aims to inform future work on stool-image-based triage strategies rather than replace FIT.

Why it matters

Potential benefit: If successful, the findings could support future research into stool-image analysis as a complementary tool in colorectal cancer screening and triage.

How similar studies have gone: Previous work in imaging and noninvasive markers has shown promise for image-derived features, but this exact AI-stool approach is exploratory and not yet proven.

Who can join: the full rules

Show full inclusion / exclusion criteria
Inclusion Criteria:

* Age 18 years or older.
* Referred for screening or diagnostic colonoscopy at Hospital Dr. Sótero del Río.
* Quantitative fecal immunochemical testing planned or completed within 30 days before or after stool image submission.
* Able to submit at least one stool image using the FAEX Health mobile application, independently or with assistance.
* Able and willing to provide written informed consent.

Exclusion Criteria:

* Unable or unwilling to provide written informed consent.
* Previous enrollment in the study.
* Unable to complete stool-image capture, even with assistance.
* Study images and clinical data cannot be reliably linked using the assigned study code.

Where it's running

  • Hospital Sotero del Rio
    Santiago, Santiago Metropolitan, Chile
    Recruiting

Study contacts

Similar studies

Other studies for the same condition or treatment. Recruiting studies are listed first.

How to take part

  1. Review the eligibility criteria above with your treating physician.
  2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
  3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.