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J-GLOBAL ID:202101007063749824   Update date: Apr. 09, 2025

Miyagi Yasunari

ミヤギ ヤスナリ | Miyagi Yasunari
Clips
Affiliation and department:
Job title: Director
Other affiliations (1):
  • Medical Data Labo  Representative
Homepage URL  (1): https://medicaldatalab.wixsite.com/site
Research field  (2): Computational science ,  Obstetrics and gynecology
Research keywords  (7): Clinical Trial ,  Artificial Intelligence ,  AI ,  programmed statistics ,  programming ,  artificial intelligence ,  Obstetrics and Gynecology
Research theme for competitive and other funds  (6):
  • 2000 - 2000 薬物動態学的薬力学理論的数式モデルによるプラチナ製剤の至適投与法の解明
  • 1998 - 1999 プラチナ製剤の薬理動態学的薬力学の理論的数学モデルの研究
  • 1998 - 1999 Induction of apoptosis in gynecologic cancer cells by the soluble IGF-I receptor.
  • 1997 - 1998 FUNDAMENTAL RESEARCH OF GENE THERAPY FOR CERVICAL CANCER BY ANTISENSE STRATEGY TARGETING IGF-1 RECEPTOR
  • 1996 - 1996 抗癌剤の薬理動態特性の因子がDNA障害とアポトーシスに与える影響の基礎研究
Show all
Papers (79):
  • Tada K., Miyagi Y. Fibrinogen and FDP threshold criteria by artificial intelligence in severe postpartum hemorrhage. The Japanese Journal of Obstetrical, Gynecological & Neonatal Hematology. 2025. 34. 2. 83-90
  • Yasunari Miyagi, Toshihiro Habara, Rei Hirata, Nobuyoshi Hayashi. Predicting implantation by using dual AI system incorporating three-dimensional blastocyst image and conventional embryo evaluation parameters-A pilot study. Reproductive Medicine and Biology. 2024. 23. 1
  • Miyagi Y, Mio Y, Yumoto K, Hirata R, Habara T, Hayashi N. Kinetic Energy and the Free Energy Principle in the Birth of Human Life. Reproductive Medicine. 2024. 5. 2. 65-80
  • Yasunari Miyagi, Katsuhiko Tada, Ichiro Yasuhi, Keisuke Tsumura, Yuka Maegawa, Norifumi Tanaka, Tomoya Mizunoe, Ikuko Emoto, Kazuhisa Maeda, Kosuke Kawakami. A Novel Method for Determining Fibrin/Fibrinogen Degradation Products and Fibrinogen Threshold Criteria via Artificial Intelligence in Massive Hemorrhage during Delivery with Hematuria. Journal of Clinical Medicine. 2024. 13. 6. 1826
  • Toshiyuki Hata, Tomomi Kawahara, Riko Takayoshi, Yasunari Miyagi, Takahito Miyake. HD live Silhouette features of physiological midgut herniation. Journal of Perinatal Medicine. 2024
more...
Patents (2):
  • Fertilized egg diagnostic imaging system, fertilized egg diagnostic imaging program, and method of creating a classifier for diagnostic imaging of fertilized eggs
  • Fertilized egg imaging diagnosis system, fertilized egg imaging diagnosis program, and fertilized egg imaging diagnosis method
Books (2):
  • Fetal Brain Function and Artificial Intelligence. In: Donald School Textbook of Ultrasound in Obstetrics and Gynecology
    Jaypee Brothers Medical Publishers 2025 ISBN:9789356968134
  • Studies on Development of New Method for the Prediction of Clinical Trial Results Using Compressive Sensing of Artificial Intelligence. In:Theory and Practice of Mathematics and Computer Science
    Book Publisher International, Hooghly, West Bengal, India 2020
Professional career (1):
  • M.D., Ph.D. (Okayama University)
Work history (3):
  • 2018/10 - 2022/12 Saitama Medical University International Medical Center Department of Gynecologic Oncology Visiting professor
  • 2017/07 - 現在 Medical Data Labo Representative
  • 2008/03 - 現在 Miyake Ofuku Clinic Department of Gynecology Director
Awards (4):
  • 2022/07 - Japanese Association for Medical Artificial Intelligence Japanese Association for Medical Artificial Intelligence Award
  • 2021/09 - Yagi award; Application of deep learning to the classification of uterine cervical squamous epithelial lesion from colposcopy images.
  • 2020 - Japan Society for Reproductive Medicine Best Paper Award of Reproductive Medicine and Biology ; Feasibility of predicting live birth by combining conventional embryo evaluation with artificial intelligence applied to a blastocyst image in patients classified by age. Reprod Med Biol. 18(4):344-356, 2019.
  • 2019/07 - Japan society for Gynecologic Oncology Highest scoring award Application of deep learning to the classification of uterine cervical squamous epithelial lesion from colposcopy images.
Association Membership(s) (8):
中国四国産科婦人科学会 ,  The Japan Society of Gynecologic Oncology ,  Japanese Association for Medical Artificial Intelligence ,  Japan Society of Clinical Oncology ,  Japan Association of Obstetricians and Gynecologists ,  Japan Society for Endoscopic Surgery ,  Japan Society for Gynecologic and Obstetric Endoscopy and Minimally Invasive Therapy ,  Japan Society of Obstetrics and Gynecology
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