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Artificial Intelligence-based Screening Models for Prevention and Early Detection of Colorectal Cancer
Sponsor: IRCCS Azienda Ospedaliero-Universitaria di Bologna
Summary
Colorectal cancer screening is based on the fecal occult blood test (FIT), which has low sensitivity for adenomatous polyps, based on the currently used cut-off. Risk factors such as obesity, diabetes, alcohol, and cigarette smoking are associated with the presence of high-risk neoplasia in the screening population. CADe systems appear to increase ADR in screening programs; however, uncertainty remains regarding their true effectiveness. The study could provide the tools to: 1. devise a personalized pathway of CRC screening so as to refer to colonoscopy (with CAD or without CAD depending on the results that will be obtained) those at high risk of carrying neoplasms amenable to removal or curative treatment; 2. define risk categories for theoretical screening models giving the possibility of moving from the concept "one size fits all" to that of "personalized and precision prevention".
Official title: Definire Modelli di Screening Personalizzati, Basati Sull'Intelligenza Artificiale, Per la Prevenzione e la Diagnosi Precoce Del Cancro Del Colon-retto
Key Details
Gender
All
Age Range
50 Years - 69 Years
Study Type
INTERVENTIONAL
Enrollment
1400
Start Date
2024-12-03
Completion Date
2026-12-31
Last Updated
2025-01-29
Healthy Volunteers
No
Conditions
Interventions
GI Genius
GI Genius software component is an artificial intelligence-based medical device that has been trained to process colonoscopy images containing regions consistent with colorectal lesions such as polyps, including those with flat morphology (nonpolyp).
Colonscope Olympus
Colonoscopy with one of the Olympus colonoscopes supplied to the IRCCS AOUBO Gastroenterology Unit without the aid of the CAD system
Locations (1)
IRCCS Azienda Ospedaliero-Universitaria di Bologna
Bologna, Bologna, Italy