Artificial Intelligence-Assisted Polyp Detection for Colonoscopy: Initial Experience

Gastroenterology. 2018 Jun;154(8):2027-2029.e3. doi: 10.1053/j.gastro.2018.04.003. Epub 2018 Apr 11.

Authors

Masashi Misawa¹, Shin-Ei Kudo², Yuichi Mori², Tomonari Cho², Shinichi Kataoka², Akihiro Yamauchi², Yushi Ogawa², Yasuharu Maeda², Kenichi Takeda², Katsuro Ichimasa², Hiroki Nakamura², Yusuke Yagawa², Naoya Toyoshima², Noriyuki Ogata², Toyoki Kudo², Tomokazu Hisayuki², Takemasa Hayashi², Kunihiko Wakamura², Toshiyuki Baba², Fumio Ishida², Hayato Itoh³, Holger Roth³, Masahiro Oda³, Kensaku Mori³

Affiliations

¹ Digestive Disease Center, Showa University Northern Yokohama Hospital, Yokohama, Japan. Electronic address: mmisawa@med.showa-u.ac.jp.
² Digestive Disease Center, Showa University Northern Yokohama Hospital, Yokohama, Japan.
³ Graduate School of Informatics, Nagoya University, Nagoya, Japan.

PMID: 29653147
DOI: 10.1053/j.gastro.2018.04.003

No abstract available

Publication types

Clinical Trial
Research Support, Non-U.S. Gov't
Video-Audio Media

MeSH terms

Adenoma / diagnostic imaging*
Aged
Artificial Intelligence*
Colon / diagnostic imaging
Colonic Neoplasms / diagnostic imaging*
Colonic Polyps / diagnostic imaging*
Colonoscopy / adverse effects
Colonoscopy / methods*
Female
Humans
Image Processing, Computer-Assisted / methods
Male
Medical Errors / prevention & control
Middle Aged
Pilot Projects