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Comment
. 2023 Oct;39(2):541-542.
doi: 10.1007/s12028-023-01798-y. Epub 2023 Jul 31.

Response to "Gaining Clarity on the Claritɣ Algorithm"

Affiliations
Comment

Response to "Gaining Clarity on the Claritɣ Algorithm"

Mauricio F Villamar et al. Neurocrit Care. 2023 Oct.
No abstract available

Keywords: Artificial intelligence; Cardiac arrest; EEG; Machine learning; Quality assurance; Seizure; Status epilepticus.

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Comment on

  • Gaining Clarity on the Claritɣ Algorithm.
    Parvizi J, Gururangan K, Knickerbocker D, Kamousi B, Woo R. Parvizi J, et al. Neurocrit Care. 2023 Oct;39(2):539-540. doi: 10.1007/s12028-023-01797-z. Epub 2023 Jul 31. Neurocrit Care. 2023. PMID: 37523108 Free PMC article. No abstract available.

References

    1. Parvizi J, Gururangan K, Knickerbocker D, Kamousi B, Woo R. Gaining clarity on the Clarity algorithm. Neurocrit Care. 2023. https://doi.org/10.1007/s12028-023-01797-z . - DOI - PubMed
    1. Villamar MF, Ayub N, Koenig SJ. automated seizure detection in patients with cardiac arrest: a retrospective review of Ceribell rapid-EEG recordings. Neurocrit Care. 2023. https://doi.org/10.1007/s12028-023-01681-w . - DOI - PubMed
    1. Kamousi B, Karunakaran S, Gururangan K, et al. Monitoring the burden of seizures and highly epileptiform patterns in critical care with a novel machine learning method. Neurocrit Care. 2021;34:908–17. - DOI - PubMed
    1. Payne ET, Zhao XY, Frndova H, et al. Seizure burden is independently associated with short term outcome in critically ill children. Brain. 2014;137:1429–38. - DOI - PubMed - PMC
    1. Hirsch LJ, Fong MWK, Leitinger M, et al. American Clinical Neurophysiology Society’s standardized critical care EEG terminology: 2021 version. J Clin Neurophysiol. 2021;38:1–29. - DOI - PubMed - PMC

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