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J-GLOBAL ID：201801011654567921   Update date: May. 12, 2026

Kohjitani Hirohiko

コウジタニ ヒロヒコ | Kohjitani Hirohiko
Affiliation and department：
Kyoto University Graduate School of Medicine

About Kyoto University Graduate School of Medicine


Job title： Lecturer
Other affiliations (2)：
Research field  (1)： Cardiology
Research keywords  (9)： Machine Learning ,  Medical artificial intelligence ,  Mathematical Optimization ,  Cardiology ,  Catheter ablation ,  genetic arrhythmia ,  human induced pluripotent stem cell derived ,  computer simulation ,  cell electrophysiology
Research theme for competitive and other funds  (9)：
  • 2024 - 2028 Novel cardiac disease research platform project using iPS cell-derived 3D mature heart tissue.
  • 2025 - 2027 Research and Development of Intracardiac Potential Analysis and Ablation Optimization System based on ECG-AI Foundation Model
  • 2024 - 2027 Research and development aiming to achieve precision medicine through the creation of an accurate prognostic score by constructing a multi-omics database includes genetic and imaging information on venous thromboembolism.
  • 2024 - 2025 Business development of a precise diagnosis program for arrhythmia disease based on intracardiac ECG information from body surface ECG
  • 2023 - 2025 12誘導心電図からの心内心電図情報予測に基づく不整脈疾患精密診断プログラムの開発研究
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Papers (30)：
  • Fumiya Yoneda, Shushi Nishiwaki, Tomoyuki Inoue, Akifumi Morinaga, Munekazu Tanaka, Reo Hata, Hirohiko Kohjitani, Satoshi Shizuta, Koh Ono. Impact of Expandable Cryoballoon on Pulmonary Vein Morphology and Treatment Selection in Atrial Fibrillation Ablation. Pacing and clinical electrophysiology : PACE. 2026
  • Madoka Sano, Toshiaki Toyota, Yoshinori Matsuoka, Hirohiko Kohjitani, Yusuke Watanabe, Yuta Azumi, Hideyuki Hayashi, Ryosuke Murai, Junichi Ooka, Yasuhiro Sasaki, et al. Predictors of Bleeding Complications After Extracorporeal Cardiopulmonary Resuscitation. JACC: Asia. 2026. 6. 3. 314-325
  • Yusuke Watanabe, Hirohiko Kohjitani, Yoshinori Matsuoka, Toshiaki Toyota, Madoka Sano, Yuta Azumi, Hideyuki Hayashi, Ryosuke Murai, Junichi Ooka, Yasuhiro Sasaki, et al. Explainable Artificial Intelligence for Prognostic Stratification in Out-of-Hospital Cardiac Arrest Patients Undergoing Extracorporeal Cardiopulmonary Resuscitation. 2025
  • Tomohiko Imamura, Takeru Makiyama, Junichi Ozawa, Keiko Sonoda, Koichi Kato, Takanori Aizawa, Asami Kashiwa, Jingshan Gao, Hai Huang, Yuta Yamamoto, et al. Sex-specific clinical course of young patients with Brugada syndrome. European Heart Journal. 2025. 46. 13. 1263-1266
  • Kyohei Yamaji, Kenji Kanenawa, Toru Morofuji, Ryusuke Nishikawa, Kazuaki Imada, Hirohiko Kohjitani, Hiroki Watanabe, Junichi Tazaki, Masanori Taniwaki, Seiji Koga, et al. Serial Optical Coherence Tomography Assessment of Coronary Atherosclerosis and Long-Term Clinical Outcomes. Journal of the American Heart Association. 2024. 13. 21. e034458
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MISC (169)：
  • 糀谷泰彦, 糀谷泰彦, 山地杏平, 山地杏平, 田中宗和, 高沢空都, 渡辺悠介, 渡辺悠介, 奥野恭史, 奥野恭史, et al. 専門性の高いビッグデータを用いた循環器領域横断的AI開発の現状と展望. 日本動脈硬化学会総会・学術集会プログラム・抄録集(Web). 2025. 57th. 133-133
  • 田中宗和, 糀谷泰彦, 奥野恭史. 深層学習を用いたHE染色画像からの心筋症診断モデルの開発と評価. 日本メディカルAI学会学術集会プログラム・抄録集. 2025. 7th
  • 高沢空都, 糀谷泰彦, 奥野恭史. 深層学習を用いた非造影CT画像からの高精度左心房形態抽出. 日本メディカルAI学会学術集会プログラム・抄録集. 2025. 7th
  • 峰晴陽平, 峰晴陽平, 内野詠一郎, 渡邉拡人, 平井啓, 吉田安里, 糀谷泰彦, 糀谷泰彦, 松本麻見, 松本麻見, et al. 個人に寄り添う健診補助AIアプリの開発:未病への戦略的対応. 日本メディカルAI学会学術集会プログラム・抄録集. 2025. 7th
  • 西内英, 糀谷泰彦, 服部浩二朗, 児玉亜希子, 増山大樹, かせ野健一, 吉村真吾, 佐々木健人, 中村紘規, 内藤滋人. The Characteristic P-wave Findings of the Bayes Syndrome Electrocardiogram Predict the Feasibility of Completing the Anterior Mitral Annular Blockline. 日本不整脈心電学会学術大会プログラム・抄録集(Web). 2025. 71st
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Patents (2)：
  • Computer program, intracardiac electrocardiogram evaluation device, intracardiac electrocardiogram evaluation system, intracardiac electrocardiogram evaluation method, and learning model generation method
  • 活動電位測定誤差の補正方法、解析装置、及びコンピュータプログラム
Books (3)：
  • Policy makers lab Journal vol.4
    2023
  • Japanese Journal of Clinical Medicine
    Nippon Rinsho 2023
  • 徹底探索心エコー : 症例と画像で学ぶ心エコー図重要ポイント
    日本医事新報社 2013 ISBN:9784784943661
Lectures and oral presentations  (45)：
  • AIがもたらした動脈硬化研究へのインパクト 専門性の高いビッグデータを用いた循環器領域横断的AI開発の現状と展望
    (日本動脈硬化学会総会プログラム・抄録集 2025)
  • Comprehensive AI Development Approaches for Social Implementation in the Field of Arrhythmias and Ischaemic Heart Disease
    (JCS2025 2025)
  • 専門性の高いビッグデータを用いた循環器領域横断的AI開発の現状と展望
    (日本動脈硬化学会総会・学術集会プログラム・抄録集(Web) 2025)
  • Overview and Prospects for AI Research and Social Implementation in the Field of Cardiovascular Disease, with a Focus on Deep Learning
    (The 16th Annual KCGH Forum 2024)
  • Current Status and Prospects for AI Research and Social Implementation in the Field of Cardiovascular Disease, with a Focus on Deep Learning
    (KYOTO Cardiovascular Meeting 2024)
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Education (2)：
  • 2014 - 2018 Kyoto University Graduate School of Medicine Department of Cardiovascular Medicine, Doctoral programme
  • 2003 - 2009 Kyoto University Faculty of Medicine Department of Medical Science
Professional career (1)：
  • Ph.D. (Kyoto University)
Work history (8)：
  • 2026/04 - 現在 The University of Tokyo The Graduate School of Engineering Department of Precision Engineering
  • 2025/04 - 現在 Kyoto University Graduate School of Medicine Lecturer
  • 2021/06 - 現在 Kyoto University Hospital Department of Cardiovascular Medicine Medical Doctor
  • 2021/06 - 2025/03 Kyoto University Graduate School of Medicine Associate Professor
  • 2018/04 - 2021/05 Kyoto University Hospital Department of Cardiovascular Medicine Medical Doctor
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Committee career (1)：
  • 2025/01 - 現在 日本循環器学会 ステートメント委員
Awards (3)：
  • 2024/01 - 京都大学医学部 循環器内科同門会 第22回京都心血管疾患フォーラム 特別賞 発作性心房細動患者の12誘導心電図から心房細動起源としての肺静脈電位を同定する深層学習モデルの開発
  • 2018/06 - International Congress on Electrocardiology (ICE2018) best presentation award
  • 2018/02 - European Society of Cardiology ESC Congress Educational Grants
Association Membership(s) (6)：
日本SIDS・乳幼児突然死予防学会 ,  The Japanese Society for Artificial Intelligence ,  The Physiolosical Society of Japan ,  Japanese Heart Rhythm Society ,  The Japanese Circulation Society ,  The Japanese Society of Internal Medicine
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