Development of patient-specific apparent blood viscosity predictive models for computational fluid dynamics analysis of intracranial aneurysms with machine learning approaches.

Journal: Computer methods and programs in biomedicine
Published Date: May 4, 2025

Abstract

BACKGROUND AND OBJECTIVES: A model to predict patient-specific apparent viscosity as a computational condition in computational fluid dynamics (CFD) analysis, which is used in research on intracranial aneurysms, is important. The purpose of this study was to develop a model to predict patient-specific apparent viscosity from clinical blood test results.

Authors

  • Takashi Suzuki
    Center for Mathematical Modeling and Data Science, Osaka University, 1-3 Machikaneyama, Toyonaka, Osaka 560-8531, Japan. Electronic address: suzuki@sigmath.es.osaka-u.ac.jp.
  • Hiroyuki Takao
  • Tomoaki Suzuki
    Department of Neurosurgery, Brain Research Institute, Niigata University, 754 Ichibancho Asahimachidori Chuo-ku, Niigata-shi, Niigata 951-8510, Japan.
  • Soichiro Fujimura
  • Shunsuke Hataoka
    Department of Neurosurgery, The Jikei University School of Medicine, 3-25-8 Nishi-shinbashi, Minato-ku, Tokyo 105-8461, Japan.
  • Tomonobu Kodama
    Department of Neurological Surgery, Nihon University School of Medicine, 1-6 Kanda Surugadai, Chiyoda-ku, Tokyo 101-8309, Japan.
  • Ken Aoki
    Department of Neurosurgery, The Jikei University School of Medicine, 3-25-8 Nishi-shinbashi, Minato-ku, Tokyo 105-8461, Japan.
  • Toshihiro Ishibashi
  • Makoto Yamamoto
  • Hideki Yamamoto
    Department of Chemical, Energy and Environment Engineering, Kansai University, 3-3-35 Yamate-cho, Suita-shi, Osaka 564-8680, Japan.
  • Yuichi Murayama

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