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Nagayasu Yoko  永昜 洋子

ORCIDConnect your ORCID iD *help
Researcher Number 80843408
Other IDs
Affiliation (Current) 2025: 大阪医科薬科大学, 医学部, 講師
Affiliation (based on the past Project Information) *help 2025: 大阪医科薬科大学, 医学部, 講師
2023: 大阪医科薬科大学, 医学部, 講師
2022: 大阪医科薬科大学, 医学部, 助教
Review Section/Research Field
Principal Investigator
Basic Section 56040:Obstetrics and gynecology-related
Keywords
Principal Investigator
ディープラーニング / 経腟分娩 / ホワイトボックス化 / 機械学習 / 胎児機能不全 / 胎児超音波 / 胎児心拍数陣痛図 / 説明可能AI / 人工知能 / 緊急帝王切開
  • Research Projects

    (2 results)
  • Research Products

    (3 results)
  •  セグメンテーション技術を用いた胎児Well-beingの個別化指標の構築Principal Investigator

    • Principal Investigator
      永昜 洋子
    • Project Period (FY)
      2025 – 2027
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 56040:Obstetrics and gynecology-related
    • Research Institution
      Osaka Medical and Pharmaceutical University
  •  Developing a Prediction System for Emergency Cesarean Sections Using White-Boxed Artificial Intelligence.Principal Investigator

    • Principal Investigator
      Nagayasu Yoko
    • Project Period (FY)
      2022 – 2023
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 56040:Obstetrics and gynecology-related
    • Research Institution
      Osaka Medical and Pharmaceutical University

All 2023 2022

All Presentation

  • [Presentation] Visualization of Fetal Breathing Movements Using Artificial Intelligence2023

    • Author(s)
      Yoko Nagayasu
    • Organizer
      The 2nd JSUOG (Japan Society of Ultrasound in Obstetrics and Gynecology) Congress
    • Invited
    • Data Source
      KAKENHI-PROJECT-22K16845
  • [Presentation] Visualization of assessments of explainable AI: Determination of difference between the upper arm and thigh in fetal ultrasound using Grad-CAM2022

    • Author(s)
      Yoko Nagayasu
    • Organizer
      32nd International Society of Ultrasound in Obstetrics and Gynecology World Congress
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K16845
  • [Presentation] 人工知能は胎児超音波における長管骨の中で大腿骨を見分けられるか?ー人工知能の新たな研究手法の可能性ー2022

    • Author(s)
      永昜 洋子
    • Organizer
      日本超音波医学会 第95回学術集会
    • Invited
    • Data Source
      KAKENHI-PROJECT-22K16845

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