Improving the endoscopic recognition of early colorectal carcinoma using artificial intelligence: current evidence and future directions.

ABSTRACT: Background and study aims Artificial intelligence (AI) has great potential to improve endoscopic recognition of early stage colorectal carcinoma (CRC). This scoping review aimed to summarize current evidence on this topic, provide an overview of the methodologies currently used, and guide future research. Methods A systematic search was performed following the PRISMA-Scr guideline. PubMed (including Medline), Scopus, Embase, IEEE Xplore, and ACM Digital Library were searched up to January 2024. Studies were eligible for inclusion when using AI for distinguishing CRC from colorectal polyps on endoscopic imaging, using histopathology as gold standard, reporting sensitivity, specificity, or accuracy as outcomes. Results Of 5024 screened articles, 26 were included. Compute

SUBMITTER: Thijssen A 

PROVIDER: S-EPMC11466514 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature