Zobrazeno 1 - 10
of 141
pro vyhledávání: '"Tomohiro Tada"'
Autor:
Shion Yonazu, Tsuyoshi Ozawa, Tamiji Nakanishi, Kentaro Ochiai, Junichi Shibata, Hiroyuki Osawa, Toshiaki Hirasawa, Yusuke Kato, Hisao Tajiri, Tomohiro Tada
Publikováno v:
DEN Open, Vol 4, Iss 1, Pp n/a-n/a (2024)
Abstract Objectives The introduction of artificial intelligence into the medical field has improved the diagnostic capabilities of physicians. However, few studies have analyzed the economic impact of employing artificial intelligence technologies in
Externí odkaz:
https://doaj.org/article/6d2628963c8c4ad78aaa1f51947f795a
Autor:
Tsutomu Takeda, Daisuke Asaoka, Hiroya Ueyama, Daiki Abe, Maiko Suzuki, Yoshihiro Inami, Yasuko Uemura, Momoko Yamamoto, Tomoyo Iwano, Ryota Uchida, Hisanori Utsunomiya, Shotaro Oki, Nobuyuki Suzuki, Atsushi Ikeda, Yoichi Akazawa, Kohei Matsumoto, Kumiko Ueda, Mariko Hojo, Shuko Nojiri, Tomohiro Tada, Akihito Nagahara
Publikováno v:
Journal of Clinical Medicine, Vol 13, Iss 7, p 1990 (2024)
Background: Barrett’s esophagus and esophageal adenocarcinoma cases are increasing as gastroesophageal reflux disease increases. Using artificial intelligence (AI) and linked color imaging (LCI), our aim was to establish a method of diagnosis for s
Externí odkaz:
https://doaj.org/article/1856d042c7be46759c29d2ec155d7673
Autor:
Yasuhiro Tani, Ryu Ishihara, Takahiro Inoue, Yuki Okubo, Yushi Kawakami, Katsunori Matsueda, Muneaki Miyake, Shunsuke Yoshii, Satoki Shichijo, Takashi Kanesaka, Sachiko Yamamoto, Yoji Takeuchi, Koji Higashino, Noriya Uedo, Tomoki Michida, Yusuke Kato, Tomohiro Tada
Publikováno v:
BMC Gastroenterology, Vol 23, Iss 1, Pp 1-8 (2023)
Abstract Background Several pre-clinical studies have reported the usefulness of artificial intelligence (AI) systems in the diagnosis of esophageal squamous cell carcinoma (ESCC). We conducted this study to evaluate the usefulness of an AI system fo
Externí odkaz:
https://doaj.org/article/55deed7653734073b0ffff4ed57b7cf5
Autor:
Yasuhiro Kodaka, Seiji Futagami, Yoshiyuki Watanabe, Satoki Shichijo, Noriya Uedo, Hiroyuki Aono, Kumiko Kirita, Yusuke Kato, Nobue Ueki, Shuhei Agawa, Hiroshi Yamawaki, Katsuhiko Iwakiri, Tomohiro Tada
Publikováno v:
JGH Open, Vol 6, Iss 10, Pp 704-710 (2022)
Abstract Background and Aim Gastric atrophy is a precancerous lesion. We aimed to clarify whether gastric atrophy determined by artificial intelligence (AI) correlates with the diagnosis made by expert endoscopists using several endoscopic classifica
Externí odkaz:
https://doaj.org/article/97b2d8110cb348c2a80ac15bdb437aae
Autor:
Hiroto Noda, Mitsuru Kaise, Kazutoshi Higuchi, Eriko Koizumi, Keiichiro Yoshikata, Tsugumi Habu, Kumiko Kirita, Takeshi Onda, Jun Omori, Teppei Akimoto, Osamu Goto, Katsuhiko Iwakiri, Tomohiro Tada
Publikováno v:
BMC Gastroenterology, Vol 22, Iss 1, Pp 1-10 (2022)
Abstract Background Endocytoscopy (ECS) aids early gastric cancer (EGC) diagnosis by visualization of cells. However, it is difficult for non-experts to accurately diagnose EGC using ECS. In this study, we developed and evaluated a convolutional neur
Externí odkaz:
https://doaj.org/article/1492f7a46e7d46e18771f4d4aed475f2
Autor:
Ayaka Tajiri, Ryu Ishihara, Yusuke Kato, Takahiro Inoue, Katsunori Matsueda, Muneaki Miyake, Kotaro Waki, Yusaku Shimamoto, Hiromu Fukuda, Noriko Matsuura, Satoshi Egawa, Shinjiro Yamaguchi, Hideharu Ogiyama, Kiyoshi Ogiso, Tsutomu Nishida, Kenji Aoi, Tomohiro Tada
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-7 (2022)
Abstract Previous reports have shown favorable performance of artificial intelligence (AI) systems for diagnosing esophageal squamous cell carcinoma (ESCC) compared with endoscopists. However, these findings don’t reflect performance in clinical si
Externí odkaz:
https://doaj.org/article/6a23111360f24c94846ad4082e7953ed
Autor:
Sho Shiroma, Toshiyuki Yoshio, Yusuke Kato, Yoshimasa Horie, Ken Namikawa, Yoshitaka Tokai, Shoichi Yoshimizu, Natsuko Yoshizawa, Yusuke Horiuchi, Akiyoshi Ishiyama, Toshiaki Hirasawa, Tomohiro Tsuchida, Naoki Akazawa, Junichi Akiyama, Tomohiro Tada, Junko Fujisaki
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
Abstract Diagnosis using artificial intelligence (AI) with deep learning could be useful in endoscopic examinations. We investigated the ability of AI to detect superficial esophageal squamous cell carcinoma (ESCC) from esophagogastroduodenoscopy (EG
Externí odkaz:
https://doaj.org/article/76434d4207d84508aeed12b069a34a1c
Autor:
Sayaka Nagao, Yasuhiro Tani, Junichi Shibata, Yosuke Tsuji, Tomohiro Tada, Ryu Ishihara, Mitsuhiro Fujishiro
Publikováno v:
DEN Open, Vol 2, Iss 1, Pp n/a-n/a (2022)
Abstract The application of artificial intelligence (AI) using deep learning has significantly expanded in the field of esophagogastric endoscopy. Recent studies have shown promising results in detecting and differentiating early gastric cancer using
Externí odkaz:
https://doaj.org/article/ed1e8dc6d3e942199544ded50ade332b
Publikováno v:
Diagnostics, Vol 12, Iss 12, p 3153 (2022)
Artificial intelligence (AI) is gradually being utilized in various fields as its performance has been improving with the development of deep learning methods, availability of big data, and the progression of computer processing units. In the field o
Externí odkaz:
https://doaj.org/article/2aca5431c7174c299332603b7fd6485d
Autor:
Hiroko Nakahira, Ryu Ishihara, Kazuharu Aoyama, Mitsuhiro Kono, Hiromu Fukuda, Yusaku Shimamoto, Kentaro Nakagawa, Masayasu Ohmori, Taro Iwatsubo, Hiroyoshi Iwagami, Kenshi Matsuno, Shuntaro Inoue, Noriko Matsuura, Satoki Shichijo, Akira Maekawa, Takashi Kanesaka, Sachiko Yamamoto, Yoji Takeuchi, Koji Higashino, Noriya Uedo, Takashi Matsunaga, Tomohiro Tada
Publikováno v:
JGH Open, Vol 4, Iss 3, Pp 466-471 (2020)
Background and Aim Stratifying gastric cancer (GC) risk and endoscopy findings in high‐risk individuals may provide effective surveillance for GC. We developed a computerized image‐ analysis system for endoscopic images to stratify the risk of GC
Externí odkaz:
https://doaj.org/article/505d67a5a1f847d09873b38b57823274