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Open Access
Peer-reviewed
Research Article
Deep Learning outperforms physicians in myopathy and neuropathy classification based on Needle Electromyography Signal
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Ilhan Yoo ,
Contributed equally to this work with: Ilhan Yoo, Jaesung Yoo
Roles Conceptualization, Data curation, Formal analysis, Investigation, Validation, Writing – original draft, Writing – review & editing
Affiliation Department of Neurology, Nowon Eulji Medical Center, Eulji University School of Medicine, Nowon-gu, Seoul, Republic of Korea
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Jaesung Yoo ,
Contributed equally to this work with: Ilhan Yoo, Jaesung Yoo
Roles Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing
Affiliation School of Electrical Engineering, Korea University, Seongbuk-gu, Seoul, Republic of Korea
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Dongmin Kim,
Roles Software
Affiliation Biomedical Research Institute, Seoul National University Hospital, Jongno-gu, Seoul, Republic of Korea
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Ina Youn,
Roles Data curation
Affiliation Department of Computer Science, New York University, New York, New York, United States of America
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Hyodong Kim,
Roles Methodology
Affiliation Department of Neurology, Nowon Eulji Medical Center, Eulji University School of Medicine, Nowon-gu, Seoul, Republic of Korea
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Michelle Youn,
Roles Methodology
Affiliation Department of Neurology, Nowon Eulji Medical Center, Eulji University School of Medicine, Nowon-gu, Seoul, Republic of Korea
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Jun Hee Won,
Roles Methodology
Affiliation Department of Rehabilitation Medicine, Seoul National University Hospital, Jongno-gu, Seoul, Republic of Korea
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Woosup Cho,
Roles Methodology
Affiliation Department of Rehabilitation Medicine, Seoul National University Hospital, Jongno-gu, Seoul, Republic of Korea
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Youho Myong,
Roles Methodology
Affiliation Department of Rehabilitation Medicine, Seoul National University Hospital, Jongno-gu, Seoul, Republic of Korea
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Sehoon Kim,
Roles Methodology
Affiliation Department of Rehabilitation Medicine, Seoul National University Hospital, Jongno-gu, Seoul, Republic of Korea
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Ri Yu,
Roles Supervision
Affiliation Department of Rehabilitation Medicine, Seoul National University Hospital, Jongno-gu, Seoul, Republic of Korea
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Sung-Min Kim,
Roles Conceptualization, Data curation, Resources, Supervision
Affiliation Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Jongno-gu, Seoul, Republic of Korea
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Kwangsoo Kim,
Roles Resources
Affiliation Transdisciplinary Department of Medicine & Advanced Technology, Seoul National University Hospital, Jongno-gu, Seoul, Republic of Korea
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Seung-Bo Lee ,
Roles Formal analysis, Methodology, Supervision, Validation, Writing – review & editing
* E-mail: koreateam23@gmail.com (S-BL); keewonkimm.d@gmail.com (KK)
Affiliation Department of Medical Informatics, Keimyung University School of Medicine, Nam-gu, Daegu, Republic of Korea
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Keewon Kim
Roles Conceptualization, Investigation, Supervision, Validation, Writing – review & editing
* E-mail: koreateam23@gmail.com (S-BL); keewonkimm.d@gmail.com (KK)
Affiliations Department of Rehabilitation Medicine, Seoul National University Hospital, Jongno-gu, Seoul, Republic of Korea, Office of Vision, Seoul National University College of Medicine, Jongno-gu, Seoul, Republic of Korea
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Deep Learning outperforms physicians in myopathy and neuropathy classification based on Needle Electromyography Signal
- Ilhan Yoo,
- Jaesung Yoo,
- Dongmin Kim,
- Ina Youn,
- Hyodong Kim,
- Michelle Youn,
- Jun Hee Won,
- Woosup Cho,
- Youho Myong,
- Sehoon Kim
- Published: May 19, 2026
- https://doi.org/10.1371/journal.pone.0339691