Quantitative computed tomography imaging classification of cement dust-exposed patients-based Kolmogorov-Arnold networks.

Journal: Artificial intelligence in medicine
Published Date:

Abstract

BACKGROUND: Occupational health assessment is critical for detecting respiratory issues caused by harmful exposures, such as cement dust. Quantitative computed tomography (QCT) imaging provides detailed insights into lung structure and function, enhancing the diagnosis of lung diseases. However, its high dimensionality poses challenges for traditional machine learning methods.

Authors

  • Ngan-Khanh Chau
    School of Mechanical Engineering & IEDT, Kyungpook National University, Daegu, Republic of Korea; An Giang University, Vietnam National University - Ho Chi Minh City, Ho Chi Minh, Viet Nam.
  • Woo Jin Kim
    The Heart Center of Chonnam National University Hospital, 42 Jaebongro, Dong-gu, Gwangju 501-757, South Korea.
  • Chang Hyun Lee
    Department of Radiology, Seoul National College of Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Korea (H.C., S.H.Y., S.J.P., C.M.P., J.H.L., H. Kim, E.J.H., S.J.Y., J.G.N., C.H.L., J.M.G.); CHESS Center, The First Hospital of Lanzhou University, Lanzhou, China (Q.X., J.L.); Department of Radiology, Seoul National University Bundang Hospital, Gyeonggi-do, Korea (K.H.L.); Department of Internal Medicine, Incheon Medical Center, Incheon, Korea (J.Y.K.); Department of Radiology, Seoul Medical Center, Seoul, Korea (Y.K.L.); Department of Radiology, National Medical Center, Seoul, Korea (H. Ko); Department of Radiology, Myongji Hospital, Gyeonggi-do, Korea (K.H.K.); and Department of Radiology, Chonnam National University Hospital, Gwanju, Korea (Y.H.K.).
  • Kum Ju Chae
    Department of Radiology, Chonbuk National University Hospital, 20 Geonji-ro, Geumam 2(i)-dong, Deokjin-gu, Jeonju, Jeollabuk-do 54907, South Korea.
  • Gong Yong Jin
    Department of Radiology, Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonbuk National University Medical School, Jeonju City, Jeollabuk-Do, South Korea.
  • Sanghun Choi
    School of Mechanical Engineering, Kyungpook National University, Daegu, Republic of Korea. Electronic address: s-choi@knu.ac.kr.

Keywords

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