Clinical Data and Supporting Evidence: Clarity™ Validation
Clarity has been validated to consistently alert for suspected status epilepticus and rule out seizures
Ceribell with Clarity was demonstrated to differentiate EEGs with and without status epilepticus with high sensitivity and specificity.1,2
Understanding the Clarity AI Algorithm
Clarity is a machine learning algorithm within the Ceribell system that has been trained on thousands of hours of expert annotated critical care EEGs with the goal of alerting to or ruling out life-threatening continuous seizures also known as status epilepticus.
Study Design and Methods2
Retrospective assessment of 1148 clinical EEGs from adult patients, who underwent evaluation with point-of-care EEG system
The analysis assessed the performance of Ceribell with Clarity to triage seizure activity compared to expert reviews
Key Results2
Clarity for detection of status epilepticus
Clarity detected ≥ 90% seizure burden, thereby triggering an alert for suspected status epilepticus, in 20 out of 21 cases
Clarity for ruling out status epilepticus and seizures*
Of the 726 EEG recordings in which Clarity detected no seizures, seizures were identified by the expert reviewers in only 1 case.
*At 0% seizure burden
Clarity is Designed to Not Miss Status Cases2
- The algorithm is tuned to not miss status epilepticus
- As a result, it may over-call highly abnormal seizure-like activity
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Mountainview Hospital: Clarity detected NCSE and Persistent Seizure Activity was Aborted
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References and Citations
1. Kamousi, B., et al. (2021) Neurocrit Care. 34(3):908-917
2. Puranik, T., et al., (2025). Neurocritical Care Society Annual Meeting Poster