Back to Search
Start Over
The applications and challenges of artificial intelligence in colonoscopy.
- 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