Kawazoe Yoshimasa

Affiliation and department：
Job title： Project Associate Professor
Homepage URL (2)： https://www.m.u-tokyo.ac.jp/medinfo/?page_id=182 , https://www.m.u-tokyo.ac.jp/medinfo/?page_id=937

Research field (2)： Intelligent informatics , Biological, health, and medical informatics

Research keywords (5)： Medical Informatics , Clinical Digital Twin , Artificial Intelligence in Healthcare , Natural Language Processing , Medical Artificial Intelligence

Research theme for competitive and other funds (10)：

2022 - 2028 Data-driven exploration through deeper real-world text processing
2023 - 2026 Development of a Practical Medical Dictionary for Medical Term Entity Linking
2023 - 2026 Development of a practical medical terminology dictionary for entity linking of medical terms
2021 - 2024 COVID-19関連制限と外国人居住者の健康福祉:ビッグデータ解析による自然実験
2020 - 2023 e-Phenotyping from clinical text for hereditary disorders and feasibility evaluation for clinical applications

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Papers (52)：

Emiko Shinohara, Kiminori Shimamoto, Yoshimasa Kawazoe. Uncovering condition information loss in medical text extraction: The challenge of non-contiguous spans. Next Research. 2024
Yoshimasa Kawazoe, Kiminori Shimamoto, Tomohisa Seki, Masami Tsuchiya, Emiko Shinohara, Shuntaro Yada, Shoko Wakamiya, Shungo Imai, Satoko Hori, Eiji Aramaki. Post-marketing surveillance of anticancer drugs using natural language processing of electronic medical records. npj Digital Medicine. 2024. 7. 1
Tomohisa Seki, Toru Takiguchi, Yu Akagi, Hiromasa Ito, Kazumi Kubota, Kana Miyake, Masafumi Okada, Yoshimasa Kawazoe. Iterative random forest-based identification of a novel population with high risk of complications post non-cardiac surgery. Scientific reports. 2024. 14. 1. 26741-26741
Tomohisa Seki, Yoshimasa Kawazoe, Kazuhiko Ohe. A Comparative Study of Access Analysis Service Utilization on Japanese Medical Institutions' Websites with GDPR-Compliant Cases. Studies in health technology and informatics. 2024. 316. 1238-1242
Tomohisa Seki, Yoshimasa Kawazoe, Yu Akagi, Toru Takiguchi, Kazuhiko Ohe. Assessing the Performance of Zero-Shot Visual Question Answering in Multimodal Large Language Models for 12-Lead ECG Image Interpretation. 2024

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MISC (76)：

嶋本公徳, 河添悦昌, 篠原恵美子, 矢田竣太郎, 若宮翔子, 今井俊吾, 堀里子, 荒牧英治. Development of a Method for Pharmacovigilance of Adverse Drug Events from Electronic Health Record. 人工知能学会全国大会論文集(Web). 2024. 38th
相川慎也, 芦原貴司, 天野晃, 有末伊織, 安藤譲二, 伊井仁志, 出江紳一, 伊東保志, 稲田慎, 井上雅仁, et al. Web Dictionary of Medical Engineering, Volume.1. 生体医工学. 2022. Dictionary.1
渥美振一郎, 李基成, 鳥海哲郎, 竹下修由, 河添悦昌, 大江和彦, 瀬戸泰之, 小寺澤康文, 西江尚貴, 石田洋樹, et al. AIを用いた胃癌術後の合併症をリアルタイムに予測する診療補助システムの開発. 日本外科学会定期学術集会(Web). 2022. 122nd
河添悦昌. Deep neural networks for image recognition in kidney whole slide image. 月刊腎臓内科. 2021. 13. 4
河添悦昌. 腎病理WSIを対象としたDeep Neural Networkによる画像認識. 日本小児腎臓病学会雑誌(Web). 2021. 34. 1

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Patents (1)：

処方量適正化システム、処方量適正化方法および処方量適正化システムに適用されるコンピュータプログラム

Lectures and oral presentations (3)：

Evaluation of a Context-based Prescription Alert System: A Clinical Perspective.
(Studies in health technology and informatics 2013)
An analysis of the openehr archetype semantics based on a typed lambda theory.
(Studies in health technology and informatics 2013)
A qualitative model for physiology: apart from function and abnormality.
(Studies in health technology and informatics 2013)

Education (2)：

2004 - 2008 The University of Tokyo Graduate School of Medicine Medical Informatics and Economics
1995 - 2001 山梨医科大学医学部医学科

Professional career (2)：

M.D (Yamanashi Medical University)
Ph.D (The University of Tokyo)

Work history (11)：

2023/04 - 現在東京大学医学部附属病院企画情報運営部部長
2022/04 - 現在東京大学医学部附属病院企画経営部副部長
2018/07 - 現在東京大学大学院医学系研究科医療AI開発学講座(寄付講座) 特任准教授
2016/12 - 2020/03 科学技術振興機構戦略的創造研究推進事業(さきがけ) 研究員
2016/09 - 2018/06 東京大学医学部附属病院企画情報運営部講師

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Committee career (5)：

2020/04 - 現在日本人間ドック学会 AI実装WG委員
2018 - 現在がんゲノム医療中核拠点RPWG・造血器WG委員
2014 - 現在 ICD10対応標準病名マスター検討委員会
2022/07 - 2026/06 日本医療情報学会評議員
2018 - 2020 日本医師会学術推進会議委員

Association Membership(s) (4)：

Japanese Association for Medical Artificial Intelligence , The Japanese Society for Artificial Intelligence , Japan Association for Medical Informatics , The Japanese Society of Internal Medicine

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