Artificial Intelligence-Assisted Polyp Detection for Colonoscopy: Initial Experience

Misawa, Masashi; Kudo, Shin‐ei; Mori, Yuichi; Cho, Tomonari; Kataoka, Shinichi; Yamauchi, Akihiro; Ogawa, Yushi; Maeda, Yasuharu; Takeda, Kenichi; Ichimasa, Katsuro; Nakamura, Hiroki; Yagawa, Yusuke; Toyoshima, Naoya; Ogata, Noriyuki; Kudo, Toyoki; Hisayuki, Tomokazu; Hayashi, Takemasa; Wakamura, Kunihiko; Baba, Toshiyuki; Ishida, Fumio; Itoh, Hayato; R. Roth, Holger; Oda, Masahiro; Mori, Kensaku

doi:10.1053/j.gastro.2018.04.003

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Artificial Intelligence-Assisted Polyp Detection for Colonoscopy: Initial Experience

Published in Gastroenterology • Apr 10, 2018

Authors:

Masashi Misawa

Shin‐ei Kudo

Yuichi Mori

Abstract

The adenoma detection rate is an established quality indicator for colonoscopy. For instance, a 1% increase in the adenoma detection rate was associated with a 3% decrease in interval colorectal cancer incidence.1 However, a previous meta-analysis showed that approximately 26% of neoplastic diminuti...

Subject

Colonoscopy

Medicine

Computer science

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