Back to Search Start Over

The applications and challenges of artificial intelligence in colonoscopy.

Authors :
Tao Liang
Qiao-Li Wang
Source :
Medical Data Mining. 2024, Vol. 7 Issue 2, p1-5. 5p.
Publication Year :
2024

Abstract

It has been widely acknowledged that colonoscopy is the most effective method of preventing colorectal cancer because it can detect and remove precursor lesions, thereby reducing both incidence and mortality. Among these approaches, standardized colonoscopy stands out as the most efficacious method for early-stage colorectal cancer identification. Artificial intelligence is a rapidly expanding field in gastrointestinal endoscopy. This article presents a comprehensive review of the advantages and clinical evidence supporting the application of artificial intelligence in colonoscopy while also discussing prospects for utilizing artificial intelligence-assisted endoscopy in diagnosing colorectal cancer. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
26241587
Volume :
7
Issue :
2
Database :
Academic Search Index
Journal :
Medical Data Mining
Publication Type :
Academic Journal
Accession number :
176970580
Full Text :
https://doi.org/10.53388/MDM202407010