Effectiveness of AI-enhanced colonoscopy: A case-control study using real world evidence in a young screening age population

Read full text
Authors: Maryam A Alahmad, Youstina A. Ghoris, Colleen S. Thomas, Mutaz I. Atieh, Heba A. Abulkas, Ishtiaq Ahmed, Esraa Ahmed, Ameirah Bader Abdullah Al Ali, Darshan Nagaraju, Mohammed A. Karajeh, M Wallace
Cited by: 0
References: 15

Abstract

Background: Computer aided detection (CADe) colonoscopy has been shown in randomized controlled trials to improve detection of adenomatous colorectal polyps. However, in real-world settings the benefits are less clear. Our objective was to assess CADe colonoscopy compared to routine colonoscopy in a clinical practice setting in the Arab region with a low screening age (40 years old). Methods: After the implementation of the CADe system (GI Genius, Medtronic) in our hospital in September 2021 until July 2023, all CADe cases were registered and matched to routine colonoscopy cases with (1:4) ratio. Assignment of patients to the CADe system versus the routine colonoscopy was pragmatic design based on scheduling and availability factors. Primary endpoints were adenoma per colonoscopy (APC), and adenoma detection rate (ADR). Results: A total of 840 patients were included, out of that 72 patients were excluded due to Boston Bowel Prep

Fields of Study & Subjects

Colorectal Cancer Screening and Detection AI in cancer detection Colorectal Cancer Surgical Treatments

Publication details

Journal / source
Saudi Journal of Gastroenterology
Volume
32
Issue
2
Pages
131–138
Publication date
4 February 2026
Language
EN