Machine learning to synthesize endoscopy findings in ulcerative colitis by Kento Takenaka

Machine learning to synthesize endoscopy findings in ulcerative colitis by Kento Takenaka Department of Gastroenterology and Hepatology, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University (TMDU)

New AI System Provides the Consistent Endoscopic evaluation
https://www.tmd.ac.jp/english/press-release/20211129-1/

Using artificial intelligence to assess ulcerative colitis
https://www.tmd.ac.jp/english/press-release/20200302_1/

TMDU Research Activities
https://www.tmd.ac.jp/english/research_activities/

Paper Information

Deep neural network for video colonoscopy of ulcerative colitis: a cross-sectional study

Kento Takenaka, Toshimitsu Fujii, Ami Kawamoto, Kohei Suzuki, Hiromichi Shimizu, Chiaki Maeyashiki, Osamu Yamaji, Maiko Motobayashi, Akira Igarashi, Ryoichi Hanazawa, Shuji Hibiya, Masakazu Nagahori, Eiko Saito, Ryuichi Okamoto, Kazuo Ohtsuka and Mamoru Watanabe

Publication: THE LANCET Gastroenterology and Hepatology
Publication Date: 2021 Nov 29.
DOI: https://doi.org/10.1016/S2468-1253(21)00372-1

Deep Neural Network Accurately Predicts Prognosis of Ulcerative Colitis Using Endoscopic Images

Kento Takenaka, Kazuo Ohtsuka, Toshimitsu Fujii, Shiori Oshima, Ryuichi Okamoto and MamoruWatanabe

Publication: Gastroenterology
Publication Date: 2021 Jan 20.
DOI: https://doi.org/10.1053/j.gastro.2021.01.210

Development and Validation of a Deep Neural Network for Accurate Evaluation of Endoscopic Images From Patients with Ulcerative Colitis

Kento Takenaka, Kazuo Ohtsuka, Toshimitsu Fujii, Mariko Negi, Kohei Suzuki, Hiromichi Shimizu, Shiori Oshima, Shintaro Akiyama, Maiko Motobayashi, Masakazu Nagahori, Eiko Saito, Katsuyoshi Matsuoka and Mamoru Watanabe

Publication: Gastroenterology
Publication Date: 2020 Feb 11.
DOI: https://doi.org/10.1053/j.gastro.2020.02.012