Research ArticleORIGINAL RESEARCH
Machine Learning-Based Prediction of Delayed Neurological Sequelae in Carbon Monoxide Poisoning Using Automatically Extracted MR Imaging Features
Grace Yoojin Lee, Chang Hwan Sohn, Dongwon Kim, Sang-Beom Jeon, Jihye Yun, Sungwon Ham, Yoojin Nam, Jieun Yum, Won Young Kim and Namkug Kim
American Journal of Neuroradiology June 2025, ajnr.A8870; DOI: https://doi.org/10.3174/ajnr.A8870
Grace Yoojin Lee
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.
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
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.
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
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.
Sungwon Ham
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.
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
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.
Namkug Kim
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.

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Accepted Manuscript
Grace Yoojin Lee, Chang Hwan Sohn, Dongwon Kim, Sang-Beom Jeon, Jihye Yun, Sungwon Ham, Yoojin Nam, Jieun Yum, Won Young Kim, Namkug Kim
Machine Learning-Based Prediction of Delayed Neurological Sequelae in Carbon Monoxide Poisoning Using Automatically Extracted MR Imaging Features
American Journal of Neuroradiology Jun 2025, ajnr.A8870; DOI: 10.3174/ajnr.A8870
Accepted Manuscript
Machine Learning-Based Prediction of Delayed Neurological Sequelae in Carbon Monoxide Poisoning Using Automatically Extracted MR Imaging Features
Grace Yoojin Lee, Chang Hwan Sohn, Dongwon Kim, Sang-Beom Jeon, Jihye Yun, Sungwon Ham, Yoojin Nam, Jieun Yum, Won Young Kim, Namkug Kim
American Journal of Neuroradiology Jun 2025, ajnr.A8870; DOI: 10.3174/ajnr.A8870
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