AI-based screening for colorectal cancer prevention and early detection
Official title: Definire Modelli di Screening Personalizzati, Basati Sull'Intelligenza Artificiale, Per la Prevenzione e la Diagnosi Precoce Del Cancro Del Colon-retto
Run by IRCCS Azienda Ospedaliero-Universitaria di Bologna · NCT06799793 · Data updated 2026-11-12
This study is testing if using artificial intelligence can create personalized screening plans for people aged 50-69 who have positive fecal blood tests to better identify those at high risk for colorectal cancer.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 50 Years to 69 Years |
| Sex | All |
| Enrollment | 1400 (estimated) |
| Sponsor | IRCCS Azienda Ospedaliero-Universitaria di Bologna Academic / other |
| Locations | 1 site (Bologna, Bologna) |
| Status | Recruiting |
| Started | December 3, 2024 |
| Main results expected | December 31, 2026 |
| Study ends | December 31, 2026 |
| Registry record updated | January 29, 2025 |
| Trial ID | NCT06799793 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates are individuals aged 50-69 who have tested positive for fecal occult blood in a screening program.
✕Probably not a fit
Patients with a personal history of colorectal cancer or hereditary gastrointestinal cancer syndromes will not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This study aims to enhance colorectal cancer screening by utilizing artificial intelligence to develop personalized screening pathways. It focuses on individuals aged 50-69 who have tested positive for fecal occult blood, assessing their risk factors to determine the need for colonoscopy. The goal is to move away from a one-size-fits-all approach to a more tailored strategy that identifies those at high risk for neoplasms. The study will employ advanced AI tools like GI Genius and Colonscope Olympus to improve detection rates.
Why it matters
Potential benefit: If successful, this approach could lead to earlier detection and prevention of colorectal cancer, significantly improving patient outcomes.
How similar studies have gone: Other studies have shown promise in using AI for cancer detection, suggesting potential success for this novel approach.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Subjects aged 50-69 years who underwent the fecal occult blood screening program * Male and female sex * Positivity to fecal occult blood (FIT) on the immunochemical screening test (OC-Sensor);the cut-off for determination of test positivity is 20 micrograms HgB/gr of stool (cut-off used in our country). * Subjects who provided written consent to participate in the study. Exclusion Criteria: * Subjects who do not understand the Italian language * Subjects with previous history of total colectomy or bowel resections * Subjects with colonoscopy performed in the previous 12 months * Subjects with contraindications to colonoscopy * Subjects who have contraindication to sedation or anesthesia * Subjects with a personal history of CRC * Subjects with hereditary gastrointestinal cancer syndrome: familial adenomatous polyposis (FAP), attenuated FAP, MutYH-associated polyposis, Lynch or Lynch-like syndrome, and serratus polyposis syndrome. * Subjects with inflammatory bowel disease (Crohn's disease, ulcerative colitis).
Where it's running
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IRCCS Azienda Ospedaliero-Universitaria di Bologna
Bologna, Bologna, Italy Recruiting
Study contacts
- Principal investigator: Giovanni Barbara, MD — IRCCS Azienda Ospedaliero-Universitaria di Bologna
- Study coordinator: Giovanni Barbara, MD
- Email: giovanni.barbara@unibo.it
- Phone: +39 051 2142211
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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.