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
Sex
ALL
Healthy volunteers
Accepted
You may be eligible if
40-80 years old subjects
Subjects undergoing colonoscopy for the following: o Primary CRC screening
* Post-polypectomy surveillance
* Work up following FIT positivity
* Symptoms/signs suspicions of CRC
Subjects must be willing to give written informed consent for the trial
