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KUWAHARA TAKAMICHI  桑原 崇通

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Takamichi Kuwahara  桑原 崇通

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Researcher Number 10816408
Other IDs
Affiliation (Current) 2023: 愛知県がんセンター(研究所), システム解析学分野, 研究員
Affiliation (based on the past Project Information) *help 2021: 愛知県がんセンター(研究所), システム解析学分野, 研究員
2018 – 2021: 愛知県がんセンター(研究所), がん予防研究分野, 研究員
Review Section/Research Field
Principal Investigator
Basic Section 53010:Gastroenterology-related
Except Principal Investigator
Basic Section 53010:Gastroenterology-related
Keywords
Principal Investigator
超音波内視鏡 / 膵臓 / 人工知能 / 慢性膵炎 / 膵神経内分泌腫瘍 / 膵管癌 / 膵腫瘍 / IPMN / 膵嚢胞 / deep learning … More
Except Principal Investigator
… More 遺伝子解析 / 人工知能 / EUS-FNA / 超音波内視鏡下穿刺吸引生検 / 膵癌 / 再発リスク / 良悪性診断 / EUS / 術後再発 / 膵液細胞診 / ノモグラム / AI / 膵嚢胞 / 膵がん / IPMN Less
  • Research Projects

    (4 results)
  • Research Products

    (37 results)
  • Co-Researchers

    (12 People)
  •  Development of next generation diagnostic technologies using biopsy tissues of pancreatic carcinoma: pathological diagnosis with artificial intelligence and single cell gene expression analysis

    • Principal Investigator
      北野 雅之
    • Project Period (FY)
      2021 – 2023
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 53010:Gastroenterology-related
    • Research Institution
      Wakayama Medical University
  •  validation analysis of usefulness for the diagnosis of pancreatic diseases using artificial intelligencePrincipal Investigator

    • Principal Investigator
      桑原 崇通
    • Project Period (FY)
      2021 – 2023
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 53010:Gastroenterology-related
    • Research Institution
      Aichi Cancer Center Research Institute
  •  Diagnosis of benign and malignant IPMN and proposal of risk factors for postoperative recurrence

    • Principal Investigator
      Hijioka Susumu
    • Project Period (FY)
      2019 – 2021
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 53010:Gastroenterology-related
    • Research Institution
      National Cancer Center Japan
  •  Automatic-diagnosis of panreatic diseases using artifical intelligencePrincipal Investigator

    • Principal Investigator
      Takamichi Kuwahara
    • Project Period (FY)
      2018 – 2020
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 53010:Gastroenterology-related
    • Research Institution
      Aichi Cancer Center Research Institute

All 2021 2020 2019 2018

All Journal Article Presentation Book

  • [Book] 【EUSの現状と将来】診断 人工知能(Deep learning)を用いたIPMN良悪 性診断の現状(解説/特集)2020

    • Author(s)
      桑原 崇通, 原 和生, 水野 伸匡, 羽場 真, 奥野 のぞみ, 清水 泰博
    • Total Pages
      7
    • Publisher
      肝・胆・膵
    • Data Source
      KAKENHI-PROJECT-19K08409
  • [Book] 【遭遇の機会が増えたIPMN/膵嚢胞-現状と課題】IPMN/膵嚢胞の診療 国内外におけるEUS-FNAの現状と嚢胞液解析を絡めた診断の展望(解説/特集)2019

    • Author(s)
      桑原 崇通, 原 和生, 水野 伸匡, 羽場 真, 奥野 のぞみ, 清水 泰博
    • Total Pages
      5
    • Publisher
      臨床消化器内科
    • Data Source
      KAKENHI-PROJECT-19K08409
  • [Journal Article] Current status of artificial intelligence analysis for endoscopic ultrasonography2021

    • Author(s)
      Kuwahara T, Hara K, Mizuno N, et al
    • Journal Title

      Dig Endosc

      Volume: 33 Issue: 2 Pages: 298-305

    • DOI

      10.1111/den.13880

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-19K08409, KAKENHI-PROJECT-18K15769
  • [Journal Article] 人工知能(deep learning)を用いたIPMN良悪性診断の現状2020

    • Author(s)
      桑原崇通、原和生、水野伸匡
    • Journal Title

      消化器・肝臓内科

      Volume: 8 Pages: 1-7

    • Data Source
      KAKENHI-PROJECT-19K08409
  • [Journal Article] 深層学習(Deep learning)を用いたIPMN良悪性診断2020

    • Author(s)
      桑原崇通、原和生、水野伸匡
    • Journal Title

      胆と膵

      Volume: 41 Pages: 801-806

    • Data Source
      KAKENHI-PROJECT-19K08409
  • [Journal Article] AIを用いた自動診断の現状(EUS)2020

    • Author(s)
      桑原崇通、原和生、水野伸匡
    • Journal Title

      胆と膵

      Volume: 41 Pages: 1319-1322

    • Data Source
      KAKENHI-PROJECT-19K08409
  • [Journal Article] Usefulness of Deep Learning Analysis for the Diagnosis of Malignancy in Intraductal Papillary Mucinous Neoplasms of the Pancreas2019

    • Author(s)
      Kuwahara T, Hara K, Mizuno N, et al.
    • Journal Title

      Clinical and Translational Gastroenterology

      Volume: 印刷中 Issue: 5 Pages: e00045-e00045

    • DOI

      10.14309/ctg.0000000000000045

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-18K15769
  • [Journal Article] Usefulness of septal thickness measurement on endoscopic ultrasound as a predictor of malignancy of branched-duct and mixed-type intraductal papillary mucinous neoplasm of the pancreas2019

    • Author(s)
      Iwaya H, Hijioka S, Mizuno N, Kuwahara T, Okuno N, Tajika M, Tanaka T, Ishihara M, Hirayama Y, Onishi S, Ito A, Kuraoka N, Matsumoto S, Polmanee P, Shimizu Y, Yatabe Y, Niwa Y, Tamada K, Ido A, Hara K.
    • Journal Title

      Dig.Endosc

      Volume: 未 Issue: 6 Pages: 672-681

    • DOI

      10.1111/den.13408

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K09403, KAKENHI-PROJECT-19K08409
  • [Journal Article] Diagnostic ability of artificial intelligence using deep learning analysis of cyst fluid in differentiating malignant from benign pancreatic cystic lesions2019

    • Author(s)
      Kurita Y, Kuwahara T, Hara K, et al.
    • Journal Title

      Scientific reports

      Volume: - Issue: 1

    • DOI

      10.1038/s41598-019-43314-3

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-18K15769
  • [Presentation] Deep learningを用いた膵腫瘍良悪性診断2021

    • Author(s)
      桑原崇通, 原和生, 清水泰博
    • Organizer
      第51回日本膵臓学会大会
    • Data Source
      KAKENHI-PROJECT-18K15769
  • [Presentation] 超音波内視鏡画像を用いた膵疾患に対するAI診断の取り組み2021

    • Author(s)
      桑原 崇通
    • Organizer
      日本消化器病学会 第3回ビッグデータ・AI研究会
    • Invited
    • Data Source
      KAKENHI-PROJECT-18K15769
  • [Presentation] Deep learningを用いたIPMNの良悪性診断の現状と今後の展望2021

    • Author(s)
      桑原崇通
    • Organizer
      第25回日本外科病理学会学術集会
    • Invited
    • Data Source
      KAKENHI-PROJECT-21K15938
  • [Presentation] Usefulness of Deep Learning Analysis for the Diagnosis of Pancreatic diseases.2021

    • Author(s)
      Takamichi Kuwahara
    • Organizer
      第101回日本消化器内視鏡学会総会
    • Data Source
      KAKENHI-PROJECT-21K15938
  • [Presentation] Usefulness of Deep Learning Analysis for the Diagnosis of IPMN on EUS2021

    • Author(s)
      Takamichi Kuwahara
    • Organizer
      IDEN2021
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K15938
  • [Presentation] 膵腫瘍診断AIの有用性2021

    • Author(s)
      桑原崇通
    • Organizer
      JDDW2022
    • Data Source
      KAKENHI-PROJECT-21K15938
  • [Presentation] 超音波内視鏡画像を用いた膵疾患に対するAI診断の取り組み2021

    • Author(s)
      桑原崇通
    • Organizer
      第3回ビッグデータ・AI研究会
    • Invited
    • Data Source
      KAKENHI-PROJECT-19K08409
  • [Presentation] 膵腫瘍診断AI作成の問題点とその克服2021

    • Author(s)
      桑原 崇通
    • Organizer
      第107回日本消化器病学会総会
    • Data Source
      KAKENHI-PROJECT-21K15938
  • [Presentation] Deep learning analysis for the diagnosis of pancreatic cysts on EUS2021

    • Author(s)
      Takamichi Kuwahara
    • Organizer
      EUS2021
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K15938
  • [Presentation] 人工知能による膵嚢胞病変の検出と診断2021

    • Author(s)
      桑原崇通
    • Organizer
      第52回日本膵臓学会大会
    • Data Source
      KAKENHI-PROJECT-21K15938
  • [Presentation] 人工知能を用いた膵疾患診断の有用性2020

    • Author(s)
      桑原崇通, 原和生, 清水泰博
    • Organizer
      第99回日本消化器内視鏡学会総会
    • Data Source
      KAKENHI-PROJECT-18K15769
  • [Presentation] Usefulness of Deep Learning Analysis for the Diagnosis of Malignancy in IPMN.2020

    • Author(s)
      Kuwahara T, Hara K, Shimizu Y.
    • Organizer
      Japanese Digestive Disease Week (JDDW)2020
    • Invited
    • Data Source
      KAKENHI-PROJECT-18K15769
  • [Presentation] IPMN浸潤癌を適切に診断するための術前診断法2020

    • Author(s)
      羽場 真,原 和生,清水 泰博,水野 伸匡,桑原 崇通,奥野 のぞみ,孝田 博輝,宮野 亮,千田 嘉毅,夏目 誠治,奥野 正隆,細田 和貴
    • Organizer
      JDDW
    • Data Source
      KAKENHI-PROJECT-19K08409
  • [Presentation] IPMN併存浸潤性膵管癌の臨床的特徴と治療方針2020

    • Author(s)
      羽場 真,原 和生,清水 泰博,水野 伸匡,桑原 崇通,奥野 のぞみ,孝田 博輝,宮野 亮,千田 嘉毅,夏目 誠治,奥野 正隆,細田 和貴.
    • Organizer
      膵臓学会
    • Data Source
      KAKENHI-PROJECT-19K08409
  • [Presentation] 膵疾患診断AIの有効性と学習効率化への取り組み2020

    • Author(s)
      桑原崇通、清水泰博、水野伸匡
    • Organizer
      Japanese Digestive Disease Week (JDDW)2020
    • Data Source
      KAKENHI-PROJECT-18K15769
  • [Presentation] 膵疾患診断AIの有効性と学習効率化への取り組み2020

    • Author(s)
      桑原崇通、清水泰博、水野伸匡
    • Organizer
      JDDW
    • Data Source
      KAKENHI-PROJECT-19K08409
  • [Presentation] 消化器疾患における最先端のトランスレーショナルリサーチ 『IPMN良悪性診断におけるdeep learningの有用性』2020

    • Author(s)
      桑原崇通 原和生 清水泰博
    • Organizer
      消化器病学会総会
    • Data Source
      KAKENHI-PROJECT-19K08409
  • [Presentation] Usefulness of Deep Learning Analysis for the Diagnosis of Malignancy in IPMN2020

    • Author(s)
      Takamichi Kuwahara, Kazuo Hara, Yasuhiro Shimizu
    • Organizer
      JDDW
    • Data Source
      KAKENHI-PROJECT-19K08409
  • [Presentation] Usefulness of Deep Learning Analysis for the Diagnosis of Malignancy in IPMN.2020

    • Author(s)
      Kuwahara T, Hara K, Shimizu Y.
    • Organizer
      JDDW
    • Invited
    • Data Source
      KAKENHI-PROJECT-19K08409
  • [Presentation] AIを用いたIPMN良悪性診断の試み2019

    • Author(s)
      桑原崇通 水野伸匡 原和生
    • Organizer
      第105回日本消化器病学会総会
    • Data Source
      KAKENHI-PROJECT-18K15769
  • [Presentation] IPMN切除例における膵外再発・残膵high risk lesion出現に関連する因子の検討2019

    • Author(s)
      桑原 崇通, 原 和生, 清水 泰博
    • Organizer
      第50回日本膵臓学会大会
    • Data Source
      KAKENHI-PROJECT-19K08409
  • [Presentation] 人工知能を用いたIPMN良悪性診断の試み2019

    • Author(s)
      桑原崇通、原和生、丹羽康正
    • Organizer
      第105回日本消化器病学会総会
    • Data Source
      KAKENHI-PROJECT-19K08409
  • [Presentation] Deep learningを用いたIPMN良悪性診断2019

    • Author(s)
      桑原崇通 奥野のぞみ 原和生
    • Organizer
      JDDW2019
    • Data Source
      KAKENHI-PROJECT-18K15769
  • [Presentation] Deep learningを用いたIPMN良悪性診断2019

    • Author(s)
      桑原崇通 奥野のぞみ 原和生
    • Organizer
      JDDW2019
    • Data Source
      KAKENHI-PROJECT-19K08409
  • [Presentation] 人工知能を用いたIPMN良悪性診断の試み2019

    • Author(s)
      桑原崇通、原和生、丹羽康正
    • Organizer
      第105回日本消化器病学会総会
    • Data Source
      KAKENHI-PROJECT-18K15769
  • [Presentation] AIを用いたIPMN良悪性診断2019

    • Author(s)
      桑原崇通、原和生、丹羽康正
    • Organizer
      第97回日本消化器内視鏡学会総会
    • Data Source
      KAKENHI-PROJECT-18K15769
  • [Presentation] AIを用いたIPMN良悪性診断2019

    • Author(s)
      桑原崇通、原和生、丹羽康正
    • Organizer
      第97回日本消化器内視鏡学会総会
    • Data Source
      KAKENHI-PROJECT-19K08409
  • [Presentation] 嚢胞液解析を用いた膵嚢胞診断の現状とニューラルネットワークを用いた診断能向上の試み2018

    • Author(s)
      栗田裕介 桑原崇通 原和生
    • Organizer
      第104回日本消化器病学会総会
    • Data Source
      KAKENHI-PROJECT-18K15769
  • 1.  Hijioka Susumu (50765394)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 1 results
  • 2.  大塚 隆生 (20372766)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 3.  柳澤 昭夫 (30137963)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 4.  清水 泰博 (40470166)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 10 results
  • 5.  廣野 誠子 (60468288)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 6.  植木 敏晴 (90352236)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 7.  北野 雅之 (50314571)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 8.  橋本 真一 (00313099)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 9.  村田 晋一 (20229991)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 10.  蘆田 玲子 (90570581)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 11.  原 和生 (80740258)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 12.  越川 卓 (80153526)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results

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