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Combination of artificial intelligence endoscopic diagnosis and Kimura-Takemoto classification determined by endoscopic experts may effectively evaluate the stratification of gastric atrophy in post-eradication status.
Kirita K, Futagami S, Nakamura K, Agawa S, Ueki N, Higuchi K, Habiro M, Kawawa R, Kato Y, Tada T, Iwakiri K. Kirita K, et al. Among authors: tada t. DEN Open. 2024 Nov 12;5(1):e70029. doi: 10.1002/deo2.70029. eCollection 2025 Apr. DEN Open. 2024. PMID: 39534404 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: tada t. 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.
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: tada t. 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.
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: tada t. Sci Rep. 2021 Apr 8;11(1):7759. doi: 10.1038/s41598-021-87405-6. Sci Rep. 2021. PMID: 33833355 Free PMC article.
1,702 results