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Endoscopy 2017; 49(08): 813-819
DOI: 10.1055/s-0043-109430
Evidence in perspective
© Georg Thieme Verlag KG Stuttgart · New York

Computer-aided diagnosis for colonoscopy

Yuichi Mori
1   Digestive Disease Center, Showa University Northern Yokohama Hospital, Yokohama, Japan
,
Shin-ei Kudo
1   Digestive Disease Center, Showa University Northern Yokohama Hospital, Yokohama, Japan
,
Tyler M. Berzin
2   Center for Advanced Endoscopy, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
,
Masashi Misawa
1   Digestive Disease Center, Showa University Northern Yokohama Hospital, Yokohama, Japan
,
Kenichi Takeda
1   Digestive Disease Center, Showa University Northern Yokohama Hospital, Yokohama, Japan
› Author Affiliations
Further Information

Publication History

submitted 09 January 2017

accepted after revision 03 April 2017

Publication Date:
24 May 2017 (online)

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With recent breakthroughs in artificial intelligence, computer-aided diagnosis (CAD) for colonoscopy is gaining increasing attention. CAD allows automated detection and classification (i. e. pathological prediction) of colorectal polyps during real-time endoscopy, potentially helping endoscopists to avoid missing and mischaracterizing polyps. Although the evidence has not caught up with technological progress, CAD has the potential to improve the quality of colonoscopy, with some CAD systems for polyp classification achieving diagnostic performance exceeding the threshold required for optical biopsy. The present article provides an overview of this topic from the perspective of endoscopists, with a particular focus on evidence, limitations, and clinical applications.

 

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