Assessment and prediction models for the quantitative and qualitative reserve of the ovary using machine learning.

Journal: Journal of ovarian research
Published Date: Jul 18, 2025

Abstract

BACKGROUND: The age-related decline of fertility is caused by a reduction of the ovarian reserve, which is represented by the number and quality of oocytes in the ovaries. Anti-Müllerian hormone (AMH) is considered one of the most useful markers of the quantity of the ovarian reserve; however, a more accurate prediction method is required. Furthermore, there is no clinically useful tool to assess the quality of the ovarian reserve and therefore a prediction tool is required. Our aim is to produce a model for prediction of the ovarian reserve that contributes to preconception care and precision medicine.

Authors

  • Hiroshi Koike
    Department of Obstetrics and Gynecology, Faculty of Medicine, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
  • Miyuki Harada
    Department of Obstetrics and Gynecology, Faculty of Medicine, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan. haradam-tky@umin.ac.jp.
  • Kaname Yoshida
    SIOS Technology, Inc., Tokyo, Japan.
  • Katsuhiko Noda
    SIOS Technology, Inc., Tokyo, Japan.
  • Chihiro Tsuchida
    Department of Obstetrics and Gynecology, Faculty of Medicine, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
  • Toshihiro Fujiwara
    Phoenix ART Clinic, 3-12-18, Sendagaya, Shibuya-ku, Tokyo, 151-0051, Japan.
  • Akari Kusamoto
    Department of Obstetrics and Gynecology, Faculty of Medicine, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
  • Zixin Xu
    Department of Urology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China.
  • Tsurugi Tanaka
    Department of Obstetrics and Gynecology, Faculty of Medicine, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
  • Nanoka Sakaguchi
    Department of Obstetrics and Gynecology, Faculty of Medicine, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
  • Chisato Kunitomi
    Department of Obstetrics and Gynecology, Faculty of Medicine, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
  • Nozomi Takahashi
    Department of Emergency and Critical Care Medicine, Chiba University Graduate School of Medicine, 1-8-1 Inohana, Chuo-ku, Chiba, Chiba, 260-8677, Japan.
  • Yoko Urata
    Department of Obstetrics and Gynecology, Faculty of Medicine, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
  • Kenbun Sone
    Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan. ksone5274@gmail.com.
  • Osamu Wada-Hiraike
    Department of Obstetrics and Gynecology, Faculty of Medicine, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
  • Yasushi Hirota
    Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo 113-8654, Japan.
  • Yutaka Osuga
    Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.

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