Clarity AI For 24/7 EEG Monitoring Alert – Manuscript Review With 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 […]

Dr. Andrea Rossetti Webinar: Early Prognostication Using EEG Post Cardiac Arrest

Andrea O. Rossetti, MD is the Director of the EEG/Epilepsy Unit at the Department of Clinical Neurosciences the Lausanne University Hospital (CHUV), Switzerland. He received his medical degree from the University of Bern and trained in Lausanne, Bern and Lugano. After a fellowship at Brigham and Women’s Hospital, Harvard Medical School in Boston, Prof. Rossetti […]

Introduction To the Ceribell Rapid Response EEG System

Patients experiencing prolonged seizures are at higher risk of mortality, secondary brain injury, length of stay, and complications. Non-convulsive seizures, which show no outward signs, are a very common medical emergency in severely ill patients, but they can only be diagnosed using electroencephalography (EEG). Conventional EEG systems are not designed to be readily available for […]

Brain Stethoscope Study Manuscript: Detecting Silent Seizures By Their Sound

Individuals without any prior EEG training can accurately determine whether the EEG represents seizures or nonseizure conditions Individuals without EEG training can detect ongoing seizures or seizure-like rhythmic periodic patterns by listening to sonified EEG Nonexperts listening to single-channel sonified EEGs detected seizures with remarkable sensitivity (students, 98%±5%; nurses, 95%±14%) compared to experts or nonexperts […]

Circumferential Montage Manuscript: Diagnostic Utility of 8-channel EEG For Detecting Generalized Seizure

The Ceribell circumferential montage EEG can be used in emergency situations to detect gross abnormalities Full and reduced EEG demonstrated similar accuracy when read by neurologists (fm-EEG: 95%, rm-EEG: 95%, p = 0.29) Resident physicians judged with similar accuracy (fm-EEG: 80%, rm-EEG: 80%, p = 0.05), Medical student accuracy was comparable (fm-EEG: 60%, rm-EEG: 57%, p = 0.68)

Circumferential Montage Manuscript: Diagnostic Value of Electroencephalography with Ten Electrodes in Critically Ill Patients

EEG recordings using a circumferential 10-electrode montage meet the gold standard for seizure detection Removing confounding factors, the overall concordance between fm-EEG and rm-EEG increased from 79.7% to 99.0%, and the sensitivity and specificity of rm-EEG compared to fm-EEG in detecting seizure cases increased to 97.5% and 100.0%, respectively. The concordance between fm-EEG and rm-EEG […]

Clarity AI Study Manuscript: Monitoring the Burden of Seizures in Critical Care with a Novel Machine Learning Method

Ceribell with Clarity provides 24/7 EEG monitoring with consistently high performance for seizure burden assessment and bedside alert 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 […]