Rchr
J-GLOBAL ID:202201015704098560   Update date: Jun. 26, 2024

Kai Chiharu

カイ チハル | Kai Chiharu
Research keywords  (6): Breast cancer ,  Radiogenomics ,  Radiomics ,  医用画像解析 ,  医用画像人工知能(AI) ,  computer-aided diagnosis
Research theme for competitive and other funds  (2):
  • 2023 - 2026 繰り返し受診マンモグラムを用いたがんの予兆予測AIの開発
  • 2022 - 2024 Prediction of breast cancer growth using mammograms to encourage screening and early detection
Papers (11):
  • Chiharu Kai, Takako Morita, Ikumi Sato, Akifumi Yoshida, Naoki Kodama, Satoshi Kasai. The Usefulness of the Breast Density Assessment Application Used by Breast Radiologists. Cureus. 2024
  • Chiharu Kai, Satoshi Kondo, Tsunehiro Otsuka, Hitoshi Futamura, Satoshi Kasai. Evaluation of subtraction processing for mammograms analyzed by breast density and thickness. Proc. SPIE 13174,17th International Workshop on Breast Imaging (IWBI 2024). 2024
  • Chiharu Kai, Satoshi Kondo, Tsunehiro Otsuka, Akifumi Yoshida, Ikumi Sato, Hitoshi Futamura, Naoki Kodama, Satoshi Kasai. Development of a Subtraction Processing Technology for Assistance in the Comparative Interpretation of Mammograms. Diagnostics. 2024. 14. 11. 1131-1131
  • Akifumi Yoshida, Chiharu Kai, Hitoshi Futamura, Kunihiko Oochi, Satoshi Kondo, Ikumi Sato, Satoshi Kasai. Spirometry test values can be estimated from a single chest radiograph. Frontiers in Medicine. 2024. 11
  • Chiharu Kai, Tsunehiro Otsuka, Miyako Nara, Satoshi Kondo, Hitoshi Futamura, Naoki Kodama, Satoshi Kasai. Identifying factors that indicate the possibility of non-visible cases on mammograms using mammary gland content ratio estimated by artificial intelligence. Frontiers in Oncology. 2024. 14
more...
Lectures and oral presentations  (27):
  • Evaluation of subtraction processing for mammograms analyzed by breast density and thickness.
    (2024)
  • Attempt to perform subtype classification on mammograms using features from Vision Transformers and global features
    (European Society of Radiology (VIENNA) 2024)
  • Breast cancer risk assessment with AI-based Breast Age estimation
    (European Society of Radiology (VIENNA) 2024)
  • Evaluation of the usefulness of breast density assessment application for radiographers: comparison with mammographers
    (European Society of Radiology (VIENNA) 2024)
  • AIを用いた胎児一過性徐脈の予測可能性検討
    (第43回日本看護科学学会学術集会 2023)
more...
Education (3):
  • 2023 - 現在 新潟医療福祉大学大学院, 医療福祉学研究科 医療福祉学専攻 博士後期課程
  • 2017 - 2019 Kumamoto University Graduate School of Health Sciences
  • 2013 - 2017 Kumamoto University School of Medicine School of Health Sciences
Work history (2):
  • 2022/04 - 現在 新潟医療福祉大学 医療技術学部 診療放射線学科 助教
  • 2019/04 - 2022/03 コニカミノルタ株式会社
Awards (4):
  • 2023/10 - 第23回新潟医療福祉学会学術集会 奨励賞 Deep Convolutional Neural Networkから算出した特徴量を用いた乳房構成分類手法の検討:主成分分析による次元削減手法
  • 2019/04 - Radiological physics and technology RPT誌 Doi賞 Computer-aided diagnosis with radiogenomics: Analysis of the relationship between genotype and morphological changes of the brain magnetic resonance images
  • 2018/04 - CyPos Silver Medal Computer-aided diagnosis for the detection of triple negative breast cancer based on radiomics
  • 2017/10 - 日本放射線技術学会 優秀演題賞 正常老化による脳萎縮の推移を分析するための時空間統計モデル
Association Membership(s) (2):
公益社団法人 日本診療放射線技師会 ,  公益社団法人 日本放射線技術学会
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