The microbiome can predict mucosal healing in small intestine in patients with Crohn’s disease
Shun Hattori(Nagoya University), Mitsuhiro Fujishiro(Bunkyo University), Keiko Maeda(Nagoya University Hospital), Takeshi Yamamura(Nagoya University), Eizaburo Ohno(Nagoya University), Kazuhiro Furukawa(Nagoya University), Yoshiki Hirooka(Fujita Health University Hospital), Masanao Nakamura(Aichi Medical University), Kenta Yamamoto(Teikyo Heisei University), Masatoshi Ishigami(Nagoya University), Yasuyuki Mizutani(Nagoya University), Hiroki Kawashima(Nagoya University Hospital), Takashi Honda(Osaka Hospital), Takuya Ishikawa(Nagoya University), Tsunaki Sawada(Nagoya University Hospital)
Cited by 27
Related Papers
Application of artificial intelligence using a convolutional neural network for detecting gastric cancer in endoscopic images
|Gastric Cancer|2018|742
Guidelines for endoscopic submucosal dissection and endoscopic mucosal resection for early gastric cancer
|Digestive Endoscopy|2015|575
Guidelines for endoscopic submucosal dissection and endoscopic mucosal resection for early gastric cancer (second edition)
|Digestive Endoscopy|2020|510
Diagnostic outcomes of esophageal cancer by artificial intelligence using convolutional neural networks
|Gastrointestinal Endoscopy|2018|470
Guidelines for gastroenterological endoscopy in patients undergoing antithrombotic treatment
|Digestive Endoscopy|2013|469