Ultivision AI is a computer-assisted detection (CADe) device intended to aid endoscopists in the real-time identification of colonic mucosal lesions (such as polyps and adenomas). Ultivision AI CADe is indicated for white light colonoscopy only.
Ultivision AI contains an image processing software and algorithm based on machine learning technology and convolutional neural networks (CNN). The algorithm's primary function is to identify and highlight the likelihood of the presence of a colon polyp.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
DIAGNOSTIC
Masking
SINGLE
Enrollment
137
Ultivision AI is a computer-assisted detection (CADe) device intended to aid endoscopists in the real-time identification of colonic mucosal lesions (such as polyps and adenomas) in adult patients undergoing colorectal cancer screening and surveillance examinations.
UC Irvine
Irvine, California, United States
University of Kansas Medical Center
Kansas City, Kansas, United States
University of Montreal Research Center (CRCHUM)
Montréal (Québec), Montreal, Canada
Humanitas Research Hospital
Milan, Italy
Adenoma per Colonoscopy (APC)
Superiority of Ultivision-AI arm versus control arm. APC is defined as the total number of histologically confirmed adenomas resected divided by the total number of colonoscopies.
Time frame: During the procedure/surgery
Adenoma Per Extraction (APE).
Non inferiority of Ultivision-AI arm versus control arm. Where APE is the fraction of adenoma, sessile serrated lesions, and large (\>10mm) hyperplastic polyps of the proximal colon (caecum, ascending colon, hepatic flexure, and transverse colon) out of total number of resections.
Time frame: During the procedure/surgery
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