Response to "Gaining Clarity on the Claritɣ Algorithm"
- PMID: 37523111
- DOI: 10.1007/s12028-023-01798-y
Response to "Gaining Clarity on the Claritɣ Algorithm"
Keywords: Artificial intelligence; Cardiac arrest; EEG; Machine learning; Quality assurance; Seizure; Status epilepticus.
Comment on
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Gaining Clarity on the Claritɣ Algorithm.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
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- 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
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- 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
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