Artificial intelligence in colonoscopy

被引:0
|
作者
Joel Joseph [1 ]
Ella Marie LePage [1 ]
Catherine Phillips Cheney [2 ]
Rishi Pawa [3 ]
机构
[1] Department of Internal Medicine, Wake Forest Baptist Medical Center
[2] Department of Internal Medicine, Wake Forest School of Medicine
[3] Department of Internal Medicine, Section of Gastroenterology and Hepatology, Wake Forest Baptist Medical Center
关键词
D O I
暂无
中图分类号
R735.34 []; TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 100214 ; 1405 ;
摘要
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.
引用
收藏
页码:4802 / 4817
页数:16
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