A transparent AI assurance and benchmarking framework for EEG seizure detection on TUSZ seeded with a reproducible gradient-boosting ensemble.
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| Title: | A transparent AI assurance and benchmarking framework for EEG seizure detection on TUSZ seeded with a reproducible gradient-boosting ensemble. |
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| Authors: | Zabihi M; Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA. mzabihi@mgh.harvard.edu., Gilmore EJ; Department of Neurology, Yale School of Medicine, New Haven, CT, USA., Ding K; University of Texas Southwestern, Dallas, TX, USA., Rosenthal ES; Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA. |
| Source: | Scientific reports [Sci Rep] 2026 Feb 27; Vol. 16 (1). Date of Electronic Publication: 2026 Feb 27. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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