Stroke classification and treatment support system artificial intelligence for usefulness of stroke diagnosis.

Journal: Frontiers in neurology
Published Date: Dec 14, 2023

Abstract

BACKGROUND AND AIMS: It is important to diagnose cerebral infarction at an early stage and select an appropriate treatment method. The number of stroke-trained physicians is unevenly distributed; thus, a shortage of specialists is a major problem in some regions. In this retrospective design study, we tested whether an artificial intelligence (AI) we built using computer-aided detection/diagnosis may help medical physicians to classify stroke for the appropriate treatment.

Authors

  • Nobukazu Miyamoto
    Department of Neurology, Juntendo University School of Medicine, Tokyo, Japan.
  • Yuji Ueno
    Department of Neurology, Juntendo University School of Medicine, Tokyo, Japan.
  • Kazuo Yamashiro
    Department of Neurology, Juntendo University School of Medicine, Tokyo, Japan.
  • Kenichiro Hira
    Department of Neurology, Juntendo University School of Medicine, Tokyo, Japan.
  • Chikage Kijima
    Department of Neurology, Juntendo University School of Medicine, Tokyo, Japan.
  • Naoki Kitora
    HACARUS INC., Kyoto, Japan.
  • Yoshihiko Iwao
    HACARUS INC., Kyoto, Japan.
  • Kayo Okuda
    HACARUS INC., Kyoto, Japan.
  • Shohei Mishima
    HACARUS INC., Kyoto, Japan.
  • Daisuke Takahashi
    HACARUS INC., Kyoto, Japan.
  • Kazuto Ono
    Ohara Pharmaceutical Co., Ltd., Tokyo, Japan.
  • Mika Asari
    PARKINSON Laboratories Co., Ltd., Tokyo, Japan.
  • Kazuki Miyazaki
    PARKINSON Laboratories Co., Ltd., Tokyo, Japan.
  • Nobutaka Hattori
    Department of Neurology, Juntendo University School of Medicine, Tokyo, Japan.

Keywords

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