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Clarity AI For 24/7 EEG Monitoring Alert – Manuscript Review With Dr. James Quinn

Dr. James Quinn

Dr. James Quinn, Professor of Emergency Medicine at Stanford and co-author of the Ceribell Clarity AI paper presents the study.

  • Of the 179 EEG recordings in which Claritγ detected no seizures, [Clarity had a] negative predictive value of 99%.
  • Individual expert raters displayed variability in both sensitivity (range 20–89%) and specificity (range 94–99%).
  • The sensitivity for identifying status epilepticus was 100%, [and] the specificity of the ≥ 90% seizure burden notification was 93.0%.

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