A brand new study by shows that the AI-driven encevis spike detection algorithm reaches a sensitivity of 92% with an average per patient FPR of 5.6/hour. This makes it possible to characterize epilepsy patients based on their temporal patterns of interictal epileptiform discharges, circadian rhythms, deep sleep and seizures. Precious insights can be won thanks to encevis automated analysis. The full paper is available here until July 10th.