Identifying neonatal seizures with an automatic algorithm

A new study in The Lancet: Child and Adolescent Health investigated the use of a machine-learning algorithm for neonatal seizure recognition.

The randomized, controlled trial was conducted to assess the diagnostic accuracy of the automated seizure detection algorithm, called Algorithm for Neonatal Seizure Recognition (ANSeR). Researchers sought to find out if ANSeR could help the method of continuous conventional electroencephalography (cEEG).

The researchers concluded that ANSeR was safe and could accurately detect neonatal seizures, but it did not improve the identification of seizures beyond cEEG. For more information on the study, visit Contemporary Pediatrics.