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.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 250 (estimated) |
| Sponsor | Servicio de Salud Metropolitano Sur Oriente Government |
| Locations | 1 site (Santiago, Santiago Metropolitan) |
| Status | Recruiting |
| Started | May 8, 2026 |
| Main results expected | December 2026 |
| Study ends | December 2026 |
| Registry record updated | July 31, 2026 |
| Trial ID | NCT07740122 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
- Principal investigator: Erik Manriquez Alegria, MD — Hospital Sotero Del Rio
- Study coordinator: Erik Manriquez Alegria, MD
- Email: erik.manriquez.alegria@gmail.com
- Phone: +56988232111
Similar studies
Other studies for the same condition or treatment. Recruiting studies are listed first.
-
Biomarkers in Colorectal Cancer: A Longitudinal Study Using Biobanks and Blood Samples
This study tests whether clinical and molecular biomarkers from tumor tissue and blood can predict treatment response, recurrence, and survival in adults with colorectal cancer undergoing surgery.
-
Prehabilitation with Resistance, Aerobic, or Both Before Colorectal Surgery
Four pre-surgery exercise options (resistance, aerobic, both, or none) will be tested to see which best reduces complications after colorectal cancer surgery.
-
ctDNA blood test to spot buried cancer after surgery or treatment in colorectal cancer
A blood test that looks for specific KRAS mutations in circulating tumor DNA to see if colorectal cancer has left residual disease or is likely to relapse.
-
Multimodal Survival Predictor for Colorectal Liver Metastases After Surgery
Researchers are testing a tool that combines MRI-derived tumor features with clinical data to predict survival after surgery for colorectal liver metastases.
-
Methylscape test in body fluids for multi-cancer detection in Colombia
A simple blood, urine, or saliva test called Methylscape is being tested to see if it can detect multiple cancers and identify where the signal is coming from, using people with cancer and healthy volunteers in Colombia.
-
A web-based tool to help predict submucosal invasive cancer in large non-pedunculated colorectal polyps
A web-based decision aid is being tested to see if it can help endoscopists predict cancer invasion in large non-pedunculated colorectal polyps during live colonoscopies.
How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.