Makimoto Hisaki 牧元久樹

… Alternative Names

牧元久樹マキモトヒサキ

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Researcher Number	40934708
Other IDs
Affiliation (Current)	2026: 自治医科大学, 医学部, 准教授
Affiliation (based on the past Project Information) *help	2023 – 2024: 自治医科大学, 医学部, 准教授
Review Section/Research Field	Principal Investigator Basic Section 53020:Cardiology-related
Keywords	Principal Investigator 人工知能 / 心不全 / 心電図

Research Projects
(1 results)
Research Products
(8 results)

Elucidation and clinical application of ventricular dysfunction signals inherent in ECGPrincipal Investigator
- Principal Investigator
  
  牧元久樹
- Project Period (FY)
  2023 – 2025
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 53020:Cardiology-related
- Research Institution
  Jichi Medical University

All 2025 2024 2023

All Journal Article Presentation

[Journal Article] Identifying Ventricular Dysfunction Indicators in Electrocardiograms via Artificial Intelligence-Driven Analysis2024
- Author(s)
  Makimoto Hisaki、Okatani Takayuki、Suganuma Masanori、Kabutoya Tomoyuki、Kohro Takahide、Agata Yukiko、Ogata Yukiyo、Harada Kenji、Llubani Redi、Bejinariu Alexandru、Rana Obaida R.、Makimoto Asuka、Gharib Elisabetha、Meissner Anita、Kelm Malte、Kario Kazuomi
- Journal Title
  
  Bioengineering
  
  Volume: 11 Issue: 11 Pages: 1069-1069
- DOI
  10.3390/bioengineering11111069
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K07560
[Journal Article] Adopting artificial intelligence in cardiovascular medicine: a scoping review2023
- Author(s)
  Makimoto Hisaki、Kohro Takahide
- Journal Title
  
  Hypertension Research
  
  Volume: 47 Issue: 3 Pages: 685-699
- DOI
  10.1038/s41440-023-01469-7
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-23K07560
[Journal Article] Improving Valvular Pathologies and Ventricular Dysfunction Diagnostic Efficiency Using Combined Auscultation and Electrocardiography Data: A Multimodal AI Approach2023
- Author(s)
  Shiraga Takeru、Makimoto Hisaki、Kohlmann Benita、Magnisali Christofori-Eleni、Imai Yoshie、Itani Yusuke、Makimoto Asuka、Sch?lzel Fabian、Bejinariu Alexandru、Kelm Malte、Rana Obaida
- Journal Title
  
  Sensors
  
  Volume: 23 Issue: 24 Pages: 9834-9834
- DOI
  10.3390/s23249834
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-23K07560
[Presentation] AIを利用した研究テーマの探索と立案2025
- Author(s)
  牧元久樹
- Organizer
  第５回日本不整脈心電学会関東甲信越支部地方会
- Invited
- Data Source
  KAKENHI-PROJECT-23K07560
[Presentation] Leveraging AI to Identify ECG Indicators of Ventricular Dysfunction2024
- Author(s)
  Hisaki Makimoto
- Organizer
  Scientific Sessions 2024 of American Heart Association, Chicago, U.S.A.
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K07560
[Presentation] Visualizing Contributions of Input Data for Detection of Cardiac Pathologies: Which Is More Important, Auscultation and/or Electrocardiogram?2024
- Author(s)
  Hisaki Makimoto、Takeru Shiraga、Yoshie Imai、 Yusuke Itani、Fabian Schoelzel、Obaida Rana、 Malte Kelm
- Organizer
  第88回日本循環器学会学術集会
- Data Source
  KAKENHI-PROJECT-23K07560
[Presentation] Identification of Ventricular Dysfunction Markers in Electrocardiograms via AI-driven Analysis2024
- Author(s)
  Hisaki Makimoto
- Organizer
  Asia-Pacific Heart Rhythm Society Conference (APHRS2024), Sydney, Australia.
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K07560
[Presentation] Auscultation and ECG for the detection of valvular pathologies and ventricular dysfunction: Can machine learning help?2023
- Author(s)
  Hisaki Makimoto, Takeru Shiraga, Yoshie Imai, Yusuke Itani, Fabian Schoelzel, Obaida Rana, Malte Kelm
- Organizer
  American Heart Association Scientific Sessions 2023
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-23K07560

Makimoto Hisaki 牧元 久樹

牧元 久樹 マキモト ヒサキ

Research Projects

Research Products

Elucidation and clinical application of ventricular dysfunction signals inherent in ECGPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Identifying Ventricular Dysfunction Indicators in Electrocardiograms via Artificial Intelligence-Driven Analysis2024

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Adopting artificial intelligence in cardiovascular medicine: a scoping review2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Improving Valvular Pathologies and Ventricular Dysfunction Diagnostic Efficiency Using Combined Auscultation and Electrocardiography Data: A Multimodal AI Approach2023

Author(s)

Journal Title

DOI

Data Source

[Presentation] AIを利用した研究テーマの探索と立案2025

Author(s)

Organizer

Data Source

[Presentation] Leveraging AI to Identify ECG Indicators of Ventricular Dysfunction2024

Author(s)

Organizer

Data Source

[Presentation] Visualizing Contributions of Input Data for Detection of Cardiac Pathologies: Which Is More Important, Auscultation and/or Electrocardiogram?2024

Author(s)

Organizer

Data Source

[Presentation] Identification of Ventricular Dysfunction Markers in Electrocardiograms via AI-driven Analysis2024

Author(s)

Organizer

Data Source

[Presentation] Auscultation and ECG for the detection of valvular pathologies and ventricular dysfunction: Can machine learning help?2023

Author(s)

Organizer

Data Source

Makimoto Hisaki 牧元久樹

牧元久樹マキモトヒサキ