Clinical Medicine, Nursing

Artificial Intelligence (AI) in Obstetrics and Gynecology Medical Care

Utilization Research of Artificial Intelligence (AI) in Obstetrics and Gynecology Medical Care

Medical Sciences Course

  • Master / Doctoral Degree

Faculty

KIMURA, YoshitakaKIMURA, Yoshitaka
KIMURA, Yoshitaka

Professor, M.D., Ph.D

  • TEL

    +81-22-717-7575

  • Mail

    ykimura*med.tohoku.ac.jp (Please convert "*" into "@".)

Research Theme

  • Diagnostic technology for fetal heart rate variability by AI
  • Mother children bound analysis by AI
  • Development of AI support system for gynecological hormone therapy
Research Keywords:

Technical Keywords:

Deep Learning, Medical AI, Power Edge Computing

Laboratory Introduction

With the advent of artificial intelligence AI, technological innovations in various fields are progressing, and application to the obstetrics and gynecology field, which was difficult to mechanize, is expected. In this research field, we will construct an automatic diagnosis system of fetal heart rate variability by AI, elucidate mother-infant ties by rhythm correlation analysis, and identify the delivery period. In the gynecology field, AI is used to estimate autonomic nervous activity and hormone balance using big data from a watch-type thermometer and heart rate monitor. From this big data analysis, we will solve the worries of women such as dysmenorrhea, menopausal disorder, endometriosis and uterine myoma development due to proper use of hormonal therapy.

Recent Publications

  • Khandoker AH, Kimura Y. et al. Alterations in Maternal-Fetal Heart Rate Coupling Strength and Directions in Abnormal Fetuses. Front Physiol. 10:482, 2019
  • Iida K, Obata N, Kimura Y. Quantifying heterogeneity of stochastic gene expression. J Theor Biol. 465:56-62, 2019
  • Khandoker AH, Kimura Y. et al. Validation of beat by beat fetal heart signals acquired from four-channel fetal phonocardiogram with fetal electrocardiogram in healthy late pregnancy. Sci Rep. 8(1):13635, 2018
  • Minato T, Kimura Y. et al. Relationship Between Short Term Variability (STV) and Onset of Cerebral Hemorrhage at Ischemia-Reperfusion Load in Fetal Growth Restricted (FGR) Mice. Front Physiol. 9:478, 2018.
  • Velayo CL, Kimura Y. et al. Evaluation of Abdominal Fetal Electrocardiography in Early Intrauterine Growth Restriction. Front Physiol. 8:437, 2017.