The automatic diagnosis artificial intelligence system for preoperative magnetic resonance imaging of uterine sarcoma.

Journal: Journal of gynecologic oncology
Published Date: Dec 7, 2023

Abstract

OBJECTIVE: Magnetic resonance imaging (MRI) is efficient for the diagnosis of preoperative uterine sarcoma; however, misdiagnoses may occur. In this study, we developed a new artificial intelligence (AI) system to overcome the limitations of requiring specialists to manually process datasets and a large amount of computer resources.

Authors

  • Yusuke Toyohara
    Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
  • Kenbun Sone
    Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan. ksone5274@gmail.com.
  • Katsuhiko Noda
    SIOS Technology, Inc., Tokyo, Japan.
  • Kaname Yoshida
    SIOS Technology, Inc., Tokyo, Japan.
  • Shimpei Kato
    Department of Radiology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
  • Masafumi Kaiume
    Department of Radiology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
  • Ayumi Taguchi
    Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
  • Ryo Kurokawa
    Department of Radiology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
  • Yutaka Osuga
    Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.

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