Diagnostic Accuracy of Artificial Intelligence and Computer-Aided Diagnosis for the Detection and Characterization of Colorectal Polyps: Systematic Review and Meta-analysis.

ABSTRACT:

Background

Colonoscopy reduces the incidence of colorectal cancer (CRC) by allowing detection and resection of neoplastic polyps. Evidence shows that many small polyps are missed on a single colonoscopy. There has been a successful adoption of artificial intelligence (AI) technologies to tackle the issues around missed polyps and as tools to increase the adenoma detection rate (ADR).

Objective

The aim of this review was to examine the diagnostic accuracy of AI-based technologies in assessing colorectal polyps.

Methods

A comprehensive literature search was undertaken using the databases of Embase, MEDLINE, and the Cochrane Library. PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines were followed. Studies reporting the use of computer

SUBMITTER: Nazarian S 

PROVIDER: S-EPMC8319784 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature