Development and clinical evaluation of an AI-assisted respiratory state classification system for chest X-rays: A BMI-Specific approach.

Journal: Computers in biology and medicine
PMID: 39955880

Abstract

PURPOSE: In this study, we aimed to develop and clinically evaluate an artificial intelligence (AI)-assisted support system for determining inhalation and exhalation states on chest X-ray images, focusing on the specific challenge of respiratory state determination.

Authors

  • Takeshi Takaki
    Department of Health Sciences, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan; Department of Radiology, Hospital of University of Occupational and Environmental Health, Iseigaoka 1-1, Yahatanishi-ku, Kitakyushu-shi, Fukuoka 807-8555, Japan. Electronic address: takaki-t@clnc.uoeh-u.ac.jp.
  • Ryo Matsuoka
    Department of Cardiovascular Medicine, The University of Tokyo.
  • Yuki Fujita
    Department of Radiology, Hospital of University of Occupational and Environmental Health, Iseigaoka 1-1, Yahatanishi-ku, Kitakyushu, Fukuoka, 807-8555, Japan. Electronic address: y-fujita@clnc.uoeh-u.ac.jp.
  • Seiichi Murakami
    Department of Radiological Science, Faculty of Health Sciences, Junshin Gakuen University, 1-1-1 Chikushigaoka, Minami-ku, Fukuoka 815-8510, Japan.

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