Accuracy of the rapid‐response electroencephalography's Automated Seizure Burden Estimator: A follow‐up validation study of version 8 ( <scp>AccuRASE II</scp> )
OBJECTIVE: Ceribell Inc.'s point-of-care electroencephalographic (EEG) system and artificial intelligence-based Automated Seizure Burden Estimator (ASBE; ClarityPro) have US Food and Drug Administration clearance for diagnosing electrographic status epilepticus (ESE). The AccuRASE study using ASBE version 6 (V6) showed high negative predictive value (NPV) but limited sensitivity and positive predictive value (PPV) at certain thresholds. Version 8 (V8) is the updated algorithm trained with additional EEG samples. METHODS: We tested V8 on the previously used rapid-response EEG test dataset (not used to train V8). Sensitivity, specificity, PPV, and NPV were compared against blinded expert annotations. ESE, ESE and possible ESE (ESE/pESE), electrographic seizures (ESz), and Esz with highly epileptiform patterns (Esz/HEPs) at burden thresholds of >1%, >10%, >20%, >50%, and >90% were analyzed. Additionally, we evaluated the built-in ESE and ESE/pESE alerts (≥90% over 5 min, ≥20% over 1 h, or ≥10 continuous minutes of seizure). RESULTS: V8 showed 100% sensitivity at lower thresholds (>10%-20%) for ESE (V6 .86), without a specificity loss (V8 .9 vs. V6 .85), and retained NPV (V8 1.0 vs. V6 .99). Sensitivity at 50% threshold was .86 for ESE (V6 .71), and specificity was .94 (V6 .91); PPV for ESE was 30% for ESE and 80% for ESE/pESE. The specificity for ESE remained high for 90% burden (V8 .96, V6 .97) but the sensitivity dropped (.29 vs. V6 .43). Sensitivity was lower for ESz/HEPs (.54 → .44 at >10% threshold), although the algorithm is not designed to detect HEPs. Built-in alert analysis showed significantly improved sensitivity for ESE (.57 → .86); specificity and NPV remained high (>.94). SIGNIFICANCE: ASBE V8 showed meaningful improvements in sensitivity, continued excellent NPV, and improved built-in alert accuracy for ESE and ESE/pESE. The best seizure burden threshold for ruling out ESE now is 20% (vs. 10% with V6) and that for ruling in ESE/pESE with reasonable certainty is 50% (vs. 90% with V6).
Authors
- Emily J. Gilmore (ORCID: https://orcid.org/0000-0002-4659-6861)
- Monica B. Dhakar (ORCID: https://orcid.org/0000-0001-9275-2784)
- Gamaleldin Osman (ORCID: https://orcid.org/0000-0002-2231-2473)
- Neishay Ayub (ORCID: https://orcid.org/0000-0001-5490-8776)
- Ji Yeoun Yoo (ORCID: https://orcid.org/0000-0001-7242-9779)
- Michael W K Fong (ORCID: https://orcid.org/0000-0002-5666-5234)
- Brandon Foreman (ORCID: https://orcid.org/0000-0002-5418-674X)
- Sarah E. Schmitt (ORCID: https://orcid.org/0000-0003-1384-9794)
- Janine Bacic (ORCID: https://orcid.org/0000-0002-6258-3913)
- Lawrence J. Hirsch (ORCID: https://orcid.org/0000-0002-6333-832X)
- Zubeda Sheikh (ORCID: https://orcid.org/0000-0002-0857-7993)
- Ioannis Karakis (ORCID: https://orcid.org/0000-0001-5122-7211)
- Hiba A. Haider (ORCID: https://orcid.org/0000-0001-7118-3690)
- Moshe Mizrahi
- Wei Fang (ORCID: https://orcid.org/0000-0002-0683-8846)
Institutions
- The University of Sydney (AU)
- Mayo Clinic (US)
- University of Crete (GR)
- Emory University (US)
- Medical University of South Carolina (US)
- University of New Mexico (US)
- SUNY Downstate Health Sciences University (US)
- Virginia Commonwealth University (US)
- Brown University (US)
- Rhode Island Hospital (US)
- Yale University (US)
- University of Chicago Medical Center (US)
- University of Cincinnati (US)
- Icahn School of Medicine at Mount Sinai (US)
Publication Details
- Journal
- Epilepsia
- Published
- 2026-06-25
- DOI
- https://doi.org/10.1002/epi.70352
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 0.00