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Expert-Level Detection of Epilepsy Markers in EEG on Short and Long Timescales.

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Title: Expert-Level Detection of Epilepsy Markers in EEG on Short and Long Timescales.
Authors: Li J; National Institute of Health Data Science, Peking University, Beijing.; Harvard Medical School, Boston.; Neurology Department, Beth Israel Deaconess Medical Center, Boston., Goldenholz DM; Harvard Medical School, Boston.; Neurology Department, Beth Israel Deaconess Medical Center, Boston., Alkofer M; Harvard Medical School, Boston.; Neurology Department, Beth Israel Deaconess Medical Center, Boston.; Institute for Theoretical Physics, Technical University Berlin, Berlin., Sun C; Harvard Medical School, Boston.; Neurology Department, Beth Israel Deaconess Medical Center, Boston., Nascimento FA; Neurology Department, Washington University in St. Louis, St Louis, MO., Halford JJ; Ralph H. Johnson VA Medical Center, Charleston, SC.; Electrical and Computer Engineering Department, Clemson University, Clemson, SC., Dean BC; Clemson University School of Computing, Clemson, SC., Galanti M; Clemson University School of Computing, Clemson, SC.; Public Health Sciences Department, Medical University of South Carolina, Charleston., Struck AF; Neurology Department, Washington University in St. Louis, St Louis, MO.; University of Wisconsin-Madison, Madison., Greenblatt AS; Neurology Department, Washington University in St. Louis, St Louis, MO., Lam AD; Harvard Medical School, Boston.; Neurology Department, Massachusetts General Hospital, Boston., Herlopian A; Yale University School of Medicine, New Haven, CT., Nwankwo C; Akron Children's Hospital, Akron, OH., Weber D; St. Louis University School of Medicine, St Louis, MO., Maus D; Harvard Medical School, Boston.; Neurology Department, Massachusetts General Hospital, Boston., Haider HA; Neurology Department, University of Chicago, Chicago.; University of Chicago Medical Center, Chicago., Karakis I; Emory University School of Medicine, Atlanta.; University of Crete School of Medicine, Heraklion, Greece., Yoo JY; Icahn School of Medicine at Mount Sinai, New York, NY., Ng MC; University of Manitoba, Winnipeg, MB, Canada., Selioutski O; Stony Brook University, Stony Brook, NY.; University of Rochester, Rochester, NY., Taraschenko O; University of Nebraska Medical Center, Omaha., Osman G; Mayo Clinic, Jacksonville, FL., Katyal R; Louisiana State University Health Shreveport, Shreveport., Schmitt SE; Ralph H. Johnson VA Medical Center, Charleston, SC.; Neurology Department, Medical University of South Carolina, Charleston., Benbadis S; University of South Florida, Tampa.; Tampa General Hospital, Tampa, FL., Cash SS; Harvard Medical School, Boston.; Neurology Department, Massachusetts General Hospital, Boston., Tatum WO; Mayo Clinic, Jacksonville, FL., Sheikh Z; Neurology Department, Virginia Commonwealth University, Richmond., Kong WY; Harvard Medical School, Boston.; Neurology Department, Beth Israel Deaconess Medical Center, Boston., Bayas G; Harvard Medical School, Boston.; Neurology Department, Beth Israel Deaconess Medical Center, Boston., Turley N; Harvard Medical School, Boston.; Neurology Department, Beth Israel Deaconess Medical Center, Boston., Hong S; National Institute of Health Data Science, Peking University, Beijing., Westover MB; Harvard Medical School, Boston.; Neurology Department, Beth Israel Deaconess Medical Center, Boston., Jing J; Harvard Medical School, Boston.; Neurology Department, Beth Israel Deaconess Medical Center, Boston.
Source: NEJM AI [NEJM AI] 2025 Jul; Vol. 2 (7). Date of Electronic Publication: 2025 Jun 26.
Publication Type: Journal Article
Journal Info: Publisher: NEJM Group Country of Publication: United States NLM ID: 9918752186406676 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2836-9386 (Electronic) Linking ISSN: 28369386 NLM ISO Abbreviation: NEJM AI Subsets: PubMed not MEDLINE
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