Machine Learning-Based Prediction of Delayed Neurological Sequelae in Carbon Monoxide Poisoning Using Automatically Extracted MR Imaging Features.

Journal: AJNR. American journal of neuroradiology
Published Date: Jun 12, 2025

Abstract

BACKGROUND AND PURPOSE: Delayed neurological sequelae are among the most serious complications of carbon monoxide poisoning. However, no reliable tools are available for evaluating its potential risk. We aimed to assess whether machine learning models using imaging features that were automatically extracted from brain MRI can predict the potential delayed neurological sequelae risk in patients with acute carbon monoxide poisoning.

Authors

  • Grace Yoojin Lee
    Department of Convergence Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
  • Chang Hwan Sohn
    From the Department of Medical Science (G.L.), Department of Convergence Medicine (D.K. previously, Y.N., J.Y., N.K.), and Department of Radiology and Research Institute of Radiology (J.Y., N.K.), Asan Medical Institute of Convergence Science and Technology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea; Department of Emergency Medicine (C.S., W.K.) and Department of Neurology (S.J.), Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea; Mathpresso, Inc. (D.K. currently), Seoul, Republic of Korea; Healthcare Readiness Institute for Unified Korea (S.H.), Korea University Ansan Hospital, Korea University College of Medicine, Ansan, Republic of Korea.
  • Dongwon Kim
  • Sang-Beom Jeon
    From the Department of Medical Science (G.L.), Department of Convergence Medicine (D.K. previously, Y.N., J.Y., N.K.), and Department of Radiology and Research Institute of Radiology (J.Y., N.K.), Asan Medical Institute of Convergence Science and Technology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea; Department of Emergency Medicine (C.S., W.K.) and Department of Neurology (S.J.), Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea; Mathpresso, Inc. (D.K. currently), Seoul, Republic of Korea; Healthcare Readiness Institute for Unified Korea (S.H.), Korea University Ansan Hospital, Korea University College of Medicine, Ansan, Republic of Korea.
  • Jihye Yun
    Department of Convergence Medicine, Biomedical Engineering Research Center, University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-Ro 43-Gil Songpa-Gu, Seoul 05505, South Korea.
  • Sungwon Ham
    Asan Institute for Life Sciences, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea. (S.H.).
  • Yoojin Nam
    From the Department of Medical Science (G.L.), Department of Convergence Medicine (D.K. previously, Y.N., J.Y., N.K.), and Department of Radiology and Research Institute of Radiology (J.Y., N.K.), Asan Medical Institute of Convergence Science and Technology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea; Department of Emergency Medicine (C.S., W.K.) and Department of Neurology (S.J.), Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea; Mathpresso, Inc. (D.K. currently), Seoul, Republic of Korea; Healthcare Readiness Institute for Unified Korea (S.H.), Korea University Ansan Hospital, Korea University College of Medicine, Ansan, Republic of Korea.
  • Jieun Yum
    From the Department of Medical Science (G.L.), Department of Convergence Medicine (D.K. previously, Y.N., J.Y., N.K.), and Department of Radiology and Research Institute of Radiology (J.Y., N.K.), Asan Medical Institute of Convergence Science and Technology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea; Department of Emergency Medicine (C.S., W.K.) and Department of Neurology (S.J.), Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea; Mathpresso, Inc. (D.K. currently), Seoul, Republic of Korea; Healthcare Readiness Institute for Unified Korea (S.H.), Korea University Ansan Hospital, Korea University College of Medicine, Ansan, Republic of Korea.
  • Won Young Kim
    Department of Emergency Medicine, Asan Medical Center, Seoul, Republic of Korea.
  • Namkug Kim
    Department of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.

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