
Artificial intelligence in colonoscopy
Author(s) -
Joel Joseph,
Ella Marie LePage,
Catherine Cheney,
Rishi Pawa
Publication year - 2021
Publication title -
world journal of gastroenterology
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 1.427
H-Index - 155
eISSN - 2219-2840
pISSN - 1007-9327
DOI - 10.3748/wjg.v27.i29.4802
Subject(s) - colonoscopy , medicine , general surgery , artificial intelligence , computer science , colorectal cancer , cancer
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.