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A Multi-center Control Study to Determine the Efficacy of CADEYE in Detecting Colon Polyps in Comparison to Standard of Care
This study is to assess the sensitivity and added benefits of CADEYE compared to standard care (white-light) in detecting colon polyps in patients undergoing colonoscopy.
Failure in polyp recognition is a major determinant for the high rate of missed colorectal neoplasms. In response, technological advances have paved the way for Computer-Aided Polyp Detection (CAD-e) systems. Artificial intelligence systems allow of real-time computer- aided detection of polyps with high-accuracy. CADEYE is a CAD-e system (FUJIFILM) that enables real-time video processing at the same rate as the standard procedure. The data generated from this study will provide an estimate of the ADR throughout the Middle East as well as assess the accuracy of CADEYE in detecting adenomas in comparison to standard of care.
Age
40 - 80 years
Sex
ALL
Healthy Volunteers
Yes
Theodor Bilharz Research Institute
Giza, Egypt
Start Date
January 16, 2023
Primary Completion Date
August 30, 2023
Completion Date
August 30, 2023
Last Updated
January 19, 2023
1,000
ESTIMATED participants
CAD EYE (Computer Aided Diagnosis ----?
DIAGNOSTIC_TEST
Lead Sponsor
Theodor Bilharz Research Institute
NCT06696768
NCT04704661
Data Source & Attribution
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