An artificial intelligence-based EEG algorithm for detection of epileptiform EEG discharges: Validation against the diagnostic gold standard.

CONCLUSIONS: Automated detection of EDs using an artificial intelligence-based computer algorithm had a high sensitivity. Human (expert) supervision is still necessary for confirming the clusters of detected EDs and for describing clinical correlations. Further studies on different patient populations will be needed to confirm our results. SIGNIFICANCE: The automated algorithm we describe here is a useful tool, assisting neurophysiologist in rapid assessment of EEG recordings. PMID: 32299000 [PubMed - as supplied by publisher]

https://www.ncbi.nlm.nih.gov/pubmed/32299000?dopt=Abstract

Source: Clinical Neurophysiology - April 1, 2020 Category: Neurology Authors: Fürbass F, Kural MA, Gritsch G, Hartmann M, Kluge T, Beniczky S Tags: Clin Neurophysiol Source Type: research