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KUWAHARA TAKAMICHI  桑原 崇通

… Alternative Names

Takamichi Kuwahara  桑原 崇通

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Researcher Number 10816408
Other IDs
  • ORCIDhttps://orcid.org/0000-0001-8348-8926
Affiliation (Current) 2025: 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 – 2024: 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 – 2023: 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
膵嚢胞 / deep learning / 人工知能 / 膵癌 / EUS / 超音波内視鏡 / 膵臓 / 消化器内科 / 慢性膵炎 / 膵神経内分泌腫瘍 / 膵管癌 / 膵腫瘍 / IPMN … More
Except Principal Investigator
… More 遺伝子解析 / EUS-FNA / 超音波内視鏡下穿刺吸引生検 / 包括的1細胞遺伝子解析 / 病理診断 / 遺伝子発現 / 人工知能 / 穿刺生検 / 膵腫瘍 / 膵癌 / 超音波内視鏡 / 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

    (5 results)
  • Research Products

    (62 results)
  • Co-Researchers

    (12 People)
  •  医療画像特化型学習済人工知能モデルの開発・公開Principal Investigator

    • Principal Investigator
      桑原 崇通
    • Project Period (FY)
      2024 – 2026
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 53010:Gastroenterology-related
    • Research Institution
      Aichi Cancer Center Research Institute
  •  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
      Kitano Masayuki
    • 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
      Takamichi Kuwahara
    • 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 2024 2023 2022 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] IPMN画像診断におけるAIの役割2024

    • 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
    • Journal Title

      Bio clinica = バイオクリニカ

      Volume: 39 Pages: 17-21

    • Data Source
      KAKENHI-PROJECT-21K15938
  • [Journal Article] 消化器領域における超音波診断AIの現状と展望2024

    • 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
    • Journal Title

      月刊新医療

      Volume: 51 Pages: 94-97

    • Data Source
      KAKENHI-PROJECT-21K15938
  • [Journal Article] Current status of artificial intelligence analysis for the treatment of pancreaticobiliary diseases using endoscopic ultrasonography and endoscopic retrograde cholangiopancreatography2024

    • Author(s)
      Takamichi Kuwahara, Kazuo Hara, Nobumasa Mizuno, Shin Haba, Nozomi Okuno, Toshitaka Fukui, Minako Urata, Yoshitaro Yamamoto
    • Journal Title

      DEN open

      Volume: 4 Issue: 1

    • DOI

      10.1002/deo2.267

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-21K15938
  • [Journal Article] ひとくちメモ 内視鏡分野の人工知能(AI)2024

    • 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
    • Journal Title

      日本医師会雑誌

      Volume: 152 Pages: 1096-1096

    • Data Source
      KAKENHI-PROJECT-21K15938
  • [Journal Article] Diagnosing malignant distal bile duct obstruction using artificial intelligence based on clinical biomarkers2023

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

      Scientific Reports

      Volume: 13 Issue: 1 Pages: 3262-3265

    • DOI

      10.1038/s41598-023-28058-5

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-21K15938
  • [Journal Article] Artificial intelligence using deep learning analysis of endoscopic ultrasonography images for the differential diagnosis of pancreatic masses2023

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

      Endoscopy

      Volume: 55 Issue: 02 Pages: 140-149

    • DOI

      10.1055/a-1873-7920

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-21K15938
  • [Journal Article] 膵癌・胆道癌診療におけるAI活用の展望2023

    • 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
    • Journal Title

      Medical Practice

      Volume: 40 Pages: 168-168

    • Data Source
      KAKENHI-PROJECT-21K15938
  • [Journal Article] 特集 胆膵の画像・内視鏡診断の進歩-早期診断と正確な診断のために 13.胆膵疾患におけるAI診断はどこまで進んだか?2023

    • 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
    • Journal Title

      臨床消化器内科

      Volume: 38 Pages: 1693-1698

    • Data Source
      KAKENHI-PROJECT-21K15938
  • [Journal Article] Literature review of artificial intelligence for the treatment of pancreatobiliary diseases2022

    • Author(s)
      桑原崇通 原和生
    • Journal Title

      Nippon Shokakibyo Gakkai Zasshi

      Volume: 119 Issue: 7 Pages: 610-625

    • DOI

      10.11405/nisshoshi.119.610

    • ISSN
      0446-6586, 1349-7693
    • Year and Date
      2022-07-10
    • Language
      Japanese
    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-21K15938
  • [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] 膵疾患に対するEUS-FNAにおける迅速細胞診AI(AI-ROSE)の開発2024

    • Author(s)
      桑原崇通、蘆田玲子、原和生
    • Organizer
      第110回日本消化器病学会総会
    • Data Source
      KAKENHI-PROJECT-21K07969
  • [Presentation] Development and validation of artificial intelligence-based rapid on-site cytologic evaluation during endoscopic ultrasound guided fine needle aspiration for pancreatic mass.2023

    • Author(s)
      Takamichi Kuwahara, Reiko Ashida, Koshikawa Takashi, Kenji Yamao,Kazuo Hara, Masayuki Kitano
    • Organizer
      Digestive Disease Week 2023
    • Data Source
      KAKENHI-PROJECT-21K07969
  • [Presentation] 消化器領域における超音波AIの現状と課題2023

    • Author(s)
      桑原崇通 原和生
    • Organizer
      日本超音波医学会第95回学術集会
    • Invited
    • Data Source
      KAKENHI-PROJECT-21K15938
  • [Presentation] 膵神経内分泌腫瘍診断における人工知能を用いたイメージバイオマーカー 開発2023

    • Author(s)
      桑原崇通 原和生
    • Organizer
      第54回日本膵臓学会大会
    • Data Source
      KAKENHI-PROJECT-21K15938
  • [Presentation] 膵腫瘍鑑別AIの開発2023

    • Author(s)
      桑原崇通 原和生
    • Organizer
      JDDW2023
    • Data Source
      KAKENHI-PROJECT-21K15938
  • [Presentation] 超音波内視鏡ビッグデータを用いた膵嚢胞検出 AI の開発2023

    • Author(s)
      桑原崇通 原和生
    • Organizer
      第109回日本消化器病学会総会
    • Data Source
      KAKENHI-PROJECT-21K15938
  • [Presentation] Diagnostic value of artificial intelligence-based rapid on-site cytologic evaluation during EUS-FNA for pancreatic tumor.2023

    • Author(s)
      Reiko Ashida, Takamichi Kuwahara, Takashi Koshikawa, Kenji Yamao, Kazuo Hara, Masayuki Kitano
    • Organizer
      Asian Pacific Digestive Week 2023
    • Data Source
      KAKENHI-PROJECT-21K07969
  • [Presentation] Development of artificial intelligence for pancreatic cyst detection using semi-supervised learning2023

    • Author(s)
      Takamichi Kuwahara
    • Organizer
      第105回日本消化器内視鏡学会総会
    • Data Source
      KAKENHI-PROJECT-21K15938
  • [Presentation] 半教師学習を用いた効率的な膵嚢胞検出AIの開発2022

    • Author(s)
      桑原崇通 原和生
    • Organizer
      JDDW2022
    • Data Source
      KAKENHI-PROJECT-21K15938
  • [Presentation] 人工知能による膵嚢胞病変の検出と診断2022

    • Author(s)
      桑原崇通 原和生
    • Organizer
      第108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 diseases2022

    • Author(s)
      Takamichi Kuwahara
    • Organizer
      DDW2022
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K15938
  • [Presentation] Artificial intelligence in EUS diagnosis for pancreatic cystic lesions2022

    • Author(s)
      Takamichi Kuwahara
    • Organizer
      KDDW2022
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K15938
  • [Presentation] Artificial intelligence analysis for the evaluation of PanNEN grading2022

    • Author(s)
      桑原崇通 原和生
    • Organizer
      第53回日本膵臓学会大会
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K15938
  • [Presentation] Deep learningを用いたIPMN病変の検出と良悪性診断2022

    • Author(s)
      桑原崇通 原和生
    • Organizer
      第103回日本消化器内視鏡学会総会
    • Data Source
      KAKENHI-PROJECT-21K15938
  • [Presentation] 膵腫瘤診断AIの開発2022

    • Author(s)
      桑原崇通 原和生
    • Organizer
      日本超音波医学会第95回学術集会
    • Data Source
      KAKENHI-PROJECT-21K15938
  • [Presentation] Utilization of artificial intelligence for the development of an EUS-convolutional neural network model2022

    • Author(s)
      Takamichi Kuwahara
    • Organizer
      IDEN2022
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-21K15938
  • [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
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    • Data Source
      KAKENHI-PROJECT-19K08409
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    • Data Source
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    • Data Source
      KAKENHI-PROJECT-19K08409
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    • Data Source
      KAKENHI-PROJECT-18K15769
  • 1.  Hijioka Susumu (50765394)
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  • 2.  Kitano Masayuki (50314571)
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  • 3.  大塚 隆生 (20372766)
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  • 4.  柳澤 昭夫 (30137963)
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  • 11.  原 和生 (80740258)
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  • 12.  越川 卓 (80153526)
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