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Automatic detection and classification of protruding lesions in wireless capsule endoscopy images based on a deep convolutional neural network.
Saito H, Aoki T, Aoyama K, Kato Y, Tsuboi A, Yamada A, Fujishiro M, Oka S, Ishihara S, Matsuda T, Nakahori M, Tanaka S, Koike K, Tada T. Saito H, et al. Among authors: kato y. Gastrointest Endosc. 2020 Jul;92(1):144-151.e1. doi: 10.1016/j.gie.2020.01.054. Epub 2020 Feb 19. Gastrointest Endosc. 2020. PMID: 32084410
Application of artificial intelligence using a convolutional neural network for diagnosis of early gastric cancer based on magnifying endoscopy with narrow-band imaging.
Ueyama H, Kato Y, Akazawa Y, Yatagai N, Komori H, Takeda T, Matsumoto K, Ueda K, Matsumoto K, Hojo M, Yao T, Nagahara A, Tada T. Ueyama H, et al. Among authors: kato y. J Gastroenterol Hepatol. 2021 Feb;36(2):482-489. doi: 10.1111/jgh.15190. Epub 2020 Jul 28. J Gastroenterol Hepatol. 2021. PMID: 32681536 Free PMC article.
Real-time assessment of video images for esophageal squamous cell carcinoma invasion depth using artificial intelligence.
Shimamoto Y, Ishihara R, Kato Y, Shoji A, Inoue T, Matsueda K, Miyake M, Waki K, Kono M, Fukuda H, Matsuura N, Nagaike K, Aoi K, Yamamoto K, Inoue T, Nakahara M, Nishihara A, Tada T. Shimamoto Y, et al. Among authors: kato y. J Gastroenterol. 2020 Nov;55(11):1037-1045. doi: 10.1007/s00535-020-01716-5. Epub 2020 Aug 10. J Gastroenterol. 2020. PMID: 32778959
Usefulness of an artificial intelligence system for the detection of esophageal squamous cell carcinoma evaluated with videos simulating overlooking situation.
Waki K, Ishihara R, Kato Y, Shoji A, Inoue T, Matsueda K, Miyake M, Shimamoto Y, Fukuda H, Matsuura N, Ono Y, Yao K, Hashimoto S, Terai S, Ohmori M, Tanaka K, Kato M, Shono T, Miyamoto H, Tanaka Y, Tada T. Waki K, et al. Among authors: kato y, kato m. Dig Endosc. 2021 Nov;33(7):1101-1109. doi: 10.1111/den.13934. Epub 2021 Feb 27. Dig Endosc. 2021. PMID: 33502046
Ability of artificial intelligence to detect T1 esophageal squamous cell carcinoma from endoscopic videos and the effects of real-time assistance.
Shiroma S, Yoshio T, Kato Y, Horie Y, Namikawa K, Tokai Y, Yoshimizu S, Yoshizawa N, Horiuchi Y, Ishiyama A, Hirasawa T, Tsuchida T, Akazawa N, Akiyama J, Tada T, Fujisaki J. Shiroma S, et al. Among authors: kato y. Sci Rep. 2021 Apr 8;11(1):7759. doi: 10.1038/s41598-021-87405-6. Sci Rep. 2021. PMID: 33833355 Free PMC article.
Artificial intelligence versus expert endoscopists for diagnosis of gastric cancer in patients who have undergone upper gastrointestinal endoscopy.
Niikura R, Aoki T, Shichijo S, Yamada A, Kawahara T, Kato Y, Hirata Y, Hayakawa Y, Suzuki N, Ochi M, Hirasawa T, Tada T, Kawai T, Koike K. Niikura R, et al. Among authors: kato y. Endoscopy. 2022 Aug;54(8):780-784. doi: 10.1055/a-1660-6500. Epub 2022 May 4. Endoscopy. 2022. PMID: 34607377 Free PMC article. Clinical Trial.
8,531 results