AI-Based Stool Image Analysis for Colorectal Neoplasia Risk Assessment
NCT07740122 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 250
Last updated 2026-07-31
Summary
This prospective observational substudy evaluates the association between artificial intelligence-derived features from stool images analyzed using the FAEX Health digital platform and fecal immunochemical test results in adults undergoing colorectal cancer screening or diagnostic evaluation. Participants will capture stool images using a mobile application. The primary analysis will compare AI-derived image outputs with quantitative FIT values and FIT positivity. Secondary exploratory analyses will assess associations with colonoscopy and histopathological findings when these results are available. The platform will be used exclusively for research and will not provide diagnoses, replace clinical evaluation, or influence medical decisions.
Conditions
- Colorectal Neoplasms
Interventions
- DIAGNOSTIC_TEST
-
AI-Based Stool Image Analysis
Participants capture stool images using the FAEX Health mobile application. Coded images are analyzed using artificial intelligence algorithms to derive visual features and a prespecified patient-level output or score. The AI-derived output is used exclusively for research and is compared primarily with quantitative FIT results and FIT positivity, with secondary comparisons against colonoscopy and histopathology when available. The output is not used to provide a diagnosis or guide clinical management.
Sponsors & Collaborators
-
Servicio de Salud Metropolitano Sur Oriente
lead OTHER_GOV
Principal Investigators
-
Erik Manriquez Alegria, MD · Hospital Sotero Del Rio
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2026-05-08
- Primary Completion
- 2026-12-31
- Completion
- 2026-12-31
Countries
- Chile
Study Locations
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