Development of a deep learning-based automated diagnostic system (DLADS) for classifying mammographic lesions - a first large-scale multi-institutional clinical trial in Japan.

Journal: Breast cancer (Tokyo, Japan)
Published Date: Jul 3, 2025

Abstract

BACKGROUND: Recently, western countries have built evidence on mammographic artificial Intelligence-computer-aided diagnosis (AI-CADx) systems; however, their effectiveness has not yet been sufficiently validated in Japanese women. In this study, we aimed to establish a Japanese mammographic AI-CADx system for the first time.

Authors

  • Takeshi Yamaguchi
    Division of Medical Oncology, Japanese Red Cross Musashino Hospital.
  • Yoichi Koyama
    Department of Breast Surgical Oncology, Tokyo Medical University Hospital, 6-7-1 Nishishinjuku, Shinjuku-Ku, Tokyo, 160-0023, Japan. peach@tokyo-med.ac.jp.
  • Kenichi Inoue
    Breast Cancer Center, Shonan Memorial Hospital, Kanagawa.
  • Kanako Ban
    Yotsuya Medical Cube, Tokyo, Japan.
  • Koichi Hirokaga
    Department of Breast Surgery, Hyogo Cancer Center, Hyogo, Japan.
  • Yuka Kujiraoka
    Department of Radiology, Tsukuba Memorial Hospital, Ibaraki, Japan.
  • Yuko Okanami
    Yuko Breast Clinic Meieki, Aichi, Japan.
  • Norimitsu Shinohara
    Department of Radiological Technology, Faculty of Health Sciences, Gifu University of Medical Science, Gifu.
  • Hiroko Tsunoda
    Department of Radiology, St. Luke's International Hospital, Tokyo.
  • Takayoshi Uematsu
    Division of Breast Imaging and Breast Interventional Radiology, Shizuoka Cancer Center Hospital, Shizuoka.
  • Hirofumi Mukai
    Division of Breast and Medical Oncology, National Cancer Center Hospital East, Chiba, Japan.

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