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Deep Learning outperforms physicians in myopathy and neuropathy classification based on Needle Electromyography Signal.

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Title: Deep Learning outperforms physicians in myopathy and neuropathy classification based on Needle Electromyography Signal.
Authors: Yoo I; Department of Neurology, Nowon Eulji Medical Center, Eulji University School of Medicine, Nowon-gu, Seoul, Republic of Korea., Yoo J; School of Electrical Engineering, Korea University, Seongbuk-gu, Seoul, Republic of Korea., Kim D; Biomedical Research Institute, Seoul National University Hospital, Jongno-gu, Seoul, Republic of Korea., Youn I; Department of Computer Science, New York University, New York, New York, United States of America., Kim H; Department of Neurology, Nowon Eulji Medical Center, Eulji University School of Medicine, Nowon-gu, Seoul, Republic of Korea., Youn M; Department of Neurology, Nowon Eulji Medical Center, Eulji University School of Medicine, Nowon-gu, Seoul, Republic of Korea., Won JH; Department of Rehabilitation Medicine, Seoul National University Hospital,‌‌ Jongno-gu, Seoul, Republic of Korea., Cho W; Department of Rehabilitation Medicine, Seoul National University Hospital,‌‌ Jongno-gu, Seoul, Republic of Korea., Myong Y; Department of Rehabilitation Medicine, Seoul National University Hospital,‌‌ Jongno-gu, Seoul, Republic of Korea., Kim S; Department of Rehabilitation Medicine, Seoul National University Hospital,‌‌ Jongno-gu, Seoul, Republic of Korea., Yu R; Department of Rehabilitation Medicine, Seoul National University Hospital,‌‌ Jongno-gu, Seoul, Republic of Korea., Kim SM; Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Jongno-gu,‌‌ Seoul, Republic of Korea., Kim K; Transdisciplinary Department of Medicine & Advanced Technology, Seoul National University Hospital, Jongno-gu, Seoul, Republic of Korea., Lee SB; Department of Medical Informatics, Keimyung University School of Medicine, Nam-gu, Daegu, Republic of Korea., Kim K; 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.
Source: PloS one [PLoS One] 2026 May 19; Vol. 21 (5), pp. e0339691. Date of Electronic Publication: 2026 May 19 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
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  Data: Deep Learning outperforms physicians in myopathy and neuropathy classification based on Needle Electromyography Signal.
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  Data: <searchLink fieldCode="AU" term="%22Yoo+I%22">Yoo I</searchLink>; Department of Neurology, Nowon Eulji Medical Center, Eulji University School of Medicine, Nowon-gu, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Yoo+J%22">Yoo J</searchLink>; School of Electrical Engineering, Korea University, Seongbuk-gu, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kim+D%22">Kim D</searchLink>; Biomedical Research Institute, Seoul National University Hospital, Jongno-gu, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Youn+I%22">Youn I</searchLink>; Department of Computer Science, New York University, New York, New York, United States of America.<br /><searchLink fieldCode="AU" term="%22Kim+H%22">Kim H</searchLink>; Department of Neurology, Nowon Eulji Medical Center, Eulji University School of Medicine, Nowon-gu, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Youn+M%22">Youn M</searchLink>; Department of Neurology, Nowon Eulji Medical Center, Eulji University School of Medicine, Nowon-gu, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Won+JH%22">Won JH</searchLink>; Department of Rehabilitation Medicine, Seoul National University Hospital,‌‌ Jongno-gu, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Cho+W%22">Cho W</searchLink>; Department of Rehabilitation Medicine, Seoul National University Hospital,‌‌ Jongno-gu, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Myong+Y%22">Myong Y</searchLink>; Department of Rehabilitation Medicine, Seoul National University Hospital,‌‌ Jongno-gu, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kim+S%22">Kim S</searchLink>; Department of Rehabilitation Medicine, Seoul National University Hospital,‌‌ Jongno-gu, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Yu+R%22">Yu R</searchLink>; Department of Rehabilitation Medicine, Seoul National University Hospital,‌‌ Jongno-gu, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kim+SM%22">Kim SM</searchLink>; Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Jongno-gu,‌‌ Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kim+K%22">Kim K</searchLink>; Transdisciplinary Department of Medicine & Advanced Technology, Seoul National University Hospital, Jongno-gu, Seoul, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Lee+SB%22">Lee SB</searchLink>; Department of Medical Informatics, Keimyung University School of Medicine, Nam-gu, Daegu, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Kim+K%22">Kim K</searchLink>; 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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  Data: <searchLink fieldCode="JN" term="%22101285081%22">PloS one</searchLink> [PLoS One] 2026 May 19; Vol. 21 (5), pp. e0339691. <i>Date of Electronic Publication: </i>2026 May 19 (<i>Print Publication: </i>2026).
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