The SPaRCNet algorithm: new advances in the digital world of epilepsy management

Automated tools to reliably classify seizures and other seizure-like events are limited. In an effort to reduce in-hospital deaths, the SPaRCNet computerized tool was used to predict ictal-interictal-injury-continuum (IIIC) events on electroencephalography (EEG) that matches the reliability and accuracy of neurophysiologists in identifying such events.
Data from this study proved that the SPaRCNet was effective in identifying IIIC events and was further able to match or exceed expert-level classification of seizures.
Following the success and further development of this automated tool, the authors suggest that SPaRCNet may be a useful tool for expedited review of EEGs.