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Digestive Endoscopy : Official Journal of the Japan Gastroenterological Endoscopy Society|April 14, 2020
Detecting early gastric cancer: Comparison between the diagnostic ability of convolutional neural networks and endoscopistsYohei Ikenoyama, Toshiaki Hirasawa, Mitsuaki Ishioka, et al.
Esophagus : Official Journal of the Japan Esophageal Society|January 26, 2020
Application of artificial intelligence using convolutional neural networks in determining the invasion depth of esophageal squamous cell carcinomaYoshitaka Tokai, Toshiyuki Yoshio, Kazuharu Aoyama, et al.
Esophagus : Official Journal of the Japan Esophageal Society|January 28, 2021
Diagnostic yield of conventional endoscopy with endoscopic ultrasonography for submucosal invasion of superficial esophageal squamous cell carcinoma: a post hoc analysis of multicenter prospective confirmatory study (JCOG0508)Tomohiro Kadota, Keiko Minashi, Masashi Wakabayashi, et al.
Endoscopy|February 4, 2021
Artificial intelligence diagnostic system predicts multiple Lugol-voiding lesions in the esophagus and patients at high risk for esophageal squamous cell carcinomaYohei Ikenoyama, Toshiyuki Yoshio, Junki Tokura, et al.
Gastric Cancer : Official Journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association|September 6, 2019
Feasibility of further expansion of the indications for endoscopic submucosal dissection in undifferentiated-type early gastric cancerYusuke Horiuchi, Satoshi Ida, Noriko Yamamoto, et al.
Esophagus : Official Journal of the Japan Esophageal Society|January 9, 2021
Efficacy of endoscopic filling with polyglycolic acid sheets and fibrin glue for anastomotic leak after esophageal cancer surgery: identification of an optimal techniqueHiroyuki Hatamori, Toshiyuki Yoshio, Yoshitaka Tokai, et al.
Digestive Endoscopy : Official Journal of the Japan Gastroenterological Endoscopy Society|March 16, 2017
Effect of direct oral anticoagulants on the risk of delayed bleeding after gastric endoscopic submucosal dissectionToshiyuki Yoshio, Hideomi Tomida, Ryuichiro Iwasaki, et al.
Gastrointestinal Endoscopy|August 19, 2018
Diagnostic outcomes of esophageal cancer by artificial intelligence using convolutional neural networksYoshimasa Horie, Toshiyuki Yoshio, Kazuharu Aoyama, et al.
Gan to Kagaku Ryoho. Cancer & Chemotherapy|March 28, 2019
[Endoscopic Diagnosis Using Artificial Intelligence]Toshiaki Hirasawa, Yohei Ikenoyama, Yoshimasa Horie, et al.
Scientific Reports|April 9, 2021
Ability of artificial intelligence to detect T1 esophageal squamous cell carcinoma from endoscopic videos and the effects of real-time assistanceSho Shiroma, Toshiyuki Yoshio, Yusuke Kato, et al.
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