Efficiency of Real-time Computer-aided Polyp Detection during Surveillance Colonoscopy: A Pilot Study

Efficiency of Real-time Computer-aided Polyp Detection during Surveillance Colonoscopy: A Pilot Study

Objectives: Studies have suggested that computer-aided polyp detection using artificial intelligence improves adenoma identification during colonoscopy. However, its real-world effectiveness remains unclear. Therefore, this study evaluated the usefulness of computer-aided detection during regular su...

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Bibliographic Details
Main Authors: Shin Morimoto, Hidenori Tanaka, Yudai Takehara, Noriko Yamamoto, Fumiaki Tanino, Yuki Kamigaichi, Ken Yamashita, Hidehiko Takigawa, Yuji Urabe, Toshio Kuwai, Shiro Oka
Format: Article
Language:English
Published: The Japan Society of Coloproctology 2025-01-01
Series:Journal of the Anus, Rectum and Colon
Subjects:
adenoma
artificial intelligence
colorectal neoplasm
cost-effectiveness analysis
early diagnosis
Online Access:https://www.jstage.jst.go.jp/article/jarc/9/1/9_2024-055/_pdf/-char/en
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