Rapid EEG and AI may aid early recognition of status epilepticus in emergency and prehospital settings.

This narrative review evaluates the application of rapid EEG combined with artificial intelligence (AI) for the early recognition of status epilepticus (SE) and nonconvulsive status epilepticus (NCSE). The analysis focuses on settings including the emergency department and prehospital environments. No specific study population, sample size, or randomized controlled trial data were reported, as the source material is a narrative review rather than a primary clinical study.

The intervention involves rapid EEG systems designed to augment clinical workflows. The comparator is conventional electroencephalography (EEG). The primary outcome of interest is the early recognition of SE and NCSE. Specific numerical results, efficacy rates, or comparative data were not reported in the input evidence. Consequently, no quantitative main results can be summarized beyond the qualitative assertion of the technology's purpose.

Safety and tolerability data were not reported; adverse events, serious adverse events, discontinuations, and general tolerability are unknown based on this review. The review notes several key limitations, including concerns regarding technical reliability, the need for further clinical validation, and ethical considerations associated with AI deployment in critical care.

The practice relevance highlighted is that rapid EEG is designed to augment and support clinical decision-making rather than supplant human expertise. Clinicians should interpret these findings with caution, recognizing that the evidence is observational and derived from a review without reported certainty or causality. Further high-quality research is needed to establish definitive clinical utility.