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Artificial intelligence in colonoscopy
- Source :
- World Journal of Gastroenterology
- Publication Year :
- 2021
-
Abstract
- Colorectal cancer remains a leading cause of morbidity and mortality in the United States. Advances in artificial intelligence (AI), specifically computer aided detection and computer-aided diagnosis offer promising methods of increasing adenoma detection rates with the goal of removing more pre-cancerous polyps. Conversely, these methods also may allow for smaller non-cancerous lesions to be diagnosed in vivo and left in place, decreasing the risks that come with unnecessary polypectomies. This review will provide an overview of current advances in the use of AI in colonoscopy to aid in polyp detection and characterization as well as areas of developing research.
- Subjects :
- Adenoma
Computer-aided detection
Artificial intelligence
medicine.diagnostic_test
business.industry
Colorectal cancer
Characterization
Gastroenterology
Colonoscopy
Colonic Polyps
Minireviews
General Medicine
Computer-aided diagnosis
medicine.disease
Computer aided detection
Detection
Medicine
Humans
Detection rate
business
Colorectal Neoplasms
Subjects
Details
- ISSN :
- 22192840
- Volume :
- 27
- Issue :
- 29
- Database :
- OpenAIRE
- Journal :
- World journal of gastroenterology
- Accession number :
- edsair.doi.dedup.....69a58795f7cf6b07aaeecd2484ff88b6