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. 2019 Mar;46(3):412-417.

[Endoscopic Diagnosis Using Artificial Intelligence]

[Article in Japanese]
Toshiaki Hirasawa  1 , Yohei Ikenoyama, Yoshimasa Horie, Mitsuaki Ishioka, Atsuko Tamashiro, Sho Shiroma, Ken Namikawa, Kaoru Nakano, Yoshitaka Tokai, Shoichi Yoshimizu, Yusuke Horiuchi, Akiyoshi Ishiyama, Toshiyuki Yoshio, Tomohiro Tsuchida, Junko Fujisaki
Affiliations
  • PMID: 30914574

[Endoscopic Diagnosis Using Artificial Intelligence]

[Article in Japanese]
Toshiaki Hirasawa et al. Gan To Kagaku Ryoho. 2019 Mar.

Abstract

Image recognition using artificial intelligence(AI)has developed dramatically with innovative technologies such as machine learning and deep learning. Currently, it is considered that AI has exceeded human ability in image recognition. In the field of endoscopic diagnosis, development of computer-aided diagnosis(CAD)systems using AI is progressing. The CAD is expected to help endoscopists improve detection and characterization of polyp, cancer, and inflamation in all digestive area. Some CAD systemes showing ability better than endoscopists have been reported. It may be well applicable to daily clinical practice as real time endoscopic diagnosis in the near future.

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