Novel Artificial Intelligence Systems in Detecting Adenomas in Colonoscopy: A Systemic Review and Network Meta-Analysis.

ABSTRACT:

Introduction

Artificial intelligence (AI) has the potential to improve adenoma detection rates (ADRs) during colonoscopy, but the efficacy of various AI-assisted systems remains unclear. To evaluate and compare the effectiveness of different AI-assisted systems for detecting colorectal neoplasia during colonoscopy.

Methods

A systematic literature search of PubMed, Scopus, and Google Scholar databases was conducted up to March 4, 2025, to identify randomized controlled trials comparing AI-assisted colonoscopy with conventional colonoscopy. The analysis included AI systems such as GI Genius (Medtronic, Dublin, Ireland), CAD EYE (Fujifilm, Tokyo, Japan), ENDOANGEL, EndoScreener, and EndoAID. The primary outcome was ADR, analyzed using random-effects models to calculate pooled o

SUBMITTER: Kumar S 

PROVIDER: S-EPMC12543261 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature