Rchr
J-GLOBAL ID:201201096005133956   Update date: Feb. 25, 2024

Yamamoto Yoichiro

ヤマモト ヨウイチロウ | Yamamoto Yoichiro
Affiliation and department:
Job title: Team Leader
Other affiliations (2):
  • Tohoku University  Graduate School of Medicine   Professor (Joint Graduate School)
  • Nippon Medical School  Professor (Visiting)
Research theme for competitive and other funds  (6):
  • 2022 - 2026 Exploring histologic risk factors for relapse in ulcerative colitis using artificial intelligence
  • 2022 - 2025 AIによる前立腺癌病理情報に基づく遺伝子変異診断法の開発
  • 2021 - 2024 前立腺導管癌の分子生物学的特徴及び治療予測への人工知能の応用
  • 2016 - 2023 組織中および尿中ビッグデータに基づいたBCG注入後膀胱癌再発予測システムの開発
  • 2015 - 2018 Quantitative morphometric analysis of breast cancer invasion using a machine learning approach
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Papers (25):
  • 谷内 真美, 植木 優夫, 赤塚 純, 木村 剛, 山本 陽一朗. 【AI・シミュレーションによる科学的発見は可能か?複雑な生命現象・疾患の未知なるメカニズムを解く】細胞組織像に対する発見的AIと生成AI. 実験医学. 2024. 42. 1. 37-43
  • Ruri Yamaguchi, Hiromu Morikawa, Jun Akatsuka, Yasushi Numata, Aya Noguchi, Takashi Kokumai, Masaharu Ishida, Masamichi Mizuma, Kei Nakagawa, Michiaki Unno, et al. Machine Learning of Histopathological Images Predicts Recurrences of Resected Pancreatic Ductal Adenocarcinoma With Adjuvant Treatment. Pancreas. 2023
  • Takayuki Takahashi, Hikaru Matsuoka, Rieko Sakurai, Jun Akatsuka, Yusuke Kobayashi, Masaru Nakamura, Takashi Iwata, Kouji Banno, Motomichi Matsuzaki, Jun Takayama, et al. Development of a prognostic prediction support system for cervical intraepithelial neoplasia using artificial intelligence-based diagnosis. Journal of Gynecologic Oncology. 2022. 33. 5
  • Jun Akatsuka, Yasushi Numata, Hiromu Morikawa, Tetsuro Sekine, Shigenori Kayama, Hikaru Mikami, Masato Yanagi, Yuki Endo, Hayato Takeda, Yuka Toyama, et al. A data-driven ultrasound approach discriminates pathological high grade prostate cancer. Scientific Reports. 2022. 12. 1. 860-860
  • Lars Egevad, Brett Delahunt, Hemamali Samaratunga, Toyonori Tsuzuki, Yoichiro Yamamoto, John Yaxley, Pekka Ruusuvuori, Kimmo Kartasalo, Martin Eklund. The emerging role of artificial intelligence in the reporting of prostate pathology. Pathology. 2021. 53. 5. 565-567
more...
Books (9):
  • AI・シミュレーションによる科学的発見は可能か?複雑な生命現象・疾患の未知なるメカニズムを解く
    実験医学 2024年1月号 Vol.42 No.1 2024 ISBN:9784758125758
  • 【デジタルパソロジー/サイトロジーとAIの進歩】前立腺がんにおける医療AIの現状
    医学のあゆみ 284(3) 201-205 2023年 2023
  • Exploring a new world in pathological images
    Journal of Clinical and Experimental Medicine, 274, 9, pp759-764. 2020
  • Pathology and artificial intelligence: toward trustable AI
    Experimental Medicine, vol.37, No,16, pp2690-2695 2019
  • Artificial intelligence in pathology
    Japanese Journal of Diagnostic Pathology, vol.36, No,2, pp73-78, 2019. 2019
more...
Education (2):
  • 2006 - 2009 Tohoku University Graduate School of Medicine
  • 1998 - 2004 Tohoku University School of Medicine
Professional career (1):
  • M.D.,Ph.D. (Tohoku University)
Work history (3):
  • 2022 - 現在 Nippon Medical School (Professor, visiting)
  • 2022 - 現在 Tohoku University (Professor, Joint Graduate School) Mathematical Intelligence for Medicine, Graduate School of Medicine
  • 2018 - 現在 RIKEN Center for Advanced Intelligence Project Pathology Informatics Team Team Leader
Awards (4):
  • 2020 - 文部科学省 科学技術・学術政策研究所 「科学技術への顕著な貢献 2020(ナイスステップな研究者)」
  • 2020 - 武見奨励賞
  • 2018 - 理化学研究所と産業界の交流会 優秀出展パネル入賞
  • 2010 - 東北大学加齢医学研究所研究奨励賞
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