KUWAHARA TAKAMICHI 桑原崇通

… Alternative Names

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

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

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8. 橋本真一 (00313099)

# of Collaborated Projects: 1 results

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9. 村田晋一 (20229991)

# of Collaborated Projects: 1 results

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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

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12. 越川卓 (80153526)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results

KUWAHARA TAKAMICHI 桑原 崇通

Takamichi Kuwahara 桑原 崇通

Research Projects

Research Products

Co-Researchers

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

Project Period (FY)

Research Category

Review Section

Research Institution

validation analysis of usefulness for the diagnosis of pancreatic diseases using artificial intelligencePrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Diagnosis of benign and malignant IPMN and proposal of risk factors for postoperative recurrence

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Automatic-diagnosis of panreatic diseases using artifical intelligencePrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[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)

Total Pages

Publisher

Data Source

[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)

Total Pages

Publisher

Data Source

[Journal Article] Current status of artificial intelligence analysis for endoscopic ultrasonography2021

Author(s)

Journal Title

DOI

Data Source

[Journal Article] 人工知能（deep learning）を用いたIPMN良悪性診断の現状2020

Author(s)

Journal Title

Data Source

[Journal Article] 深層学習（Deep learning）を用いたIPMN良悪性診断2020

Author(s)

Journal Title

Data Source

[Journal Article] AIを用いた自動診断の現状（EUS）2020

Author(s)

Journal Title

Data Source

[Journal Article] Usefulness of Deep Learning Analysis for the Diagnosis of Malignancy in Intraductal Papillary Mucinous Neoplasms of the Pancreas2019

Author(s)

Journal Title

DOI

Data Source

[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)

Journal Title

DOI

Data Source

[Journal Article] Diagnostic ability of artificial intelligence using deep learning analysis of cyst fluid in differentiating malignant from benign pancreatic cystic lesions2019

Author(s)

Journal Title

DOI

Data Source

[Presentation] Deep learningを用いた膵腫瘍良悪性診断2021

Author(s)

Organizer

Data Source

[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)

Organizer

Data Source

[Presentation] Deep learningを用いたIPMNの良悪性診断の現状と今後の展望2021

KUWAHARA TAKAMICHI 桑原崇通

Takamichi Kuwahara 桑原崇通

[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

[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

[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