Identifying neonatal seizures with an automatic algorithm

Article

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.

Related Videos
The importance of diversity in obstetrics | Image Credit: © stanfordchildrens.org
Study confirms efficacy of JADA against postpartum bleeding | Image Credit: © Amy Taneja MD - © Amy Taneja MD - linkedin.com.
Sean Esplin, MD
Lewkowitz, Peahl, Shah
Haywood Brown, MD | Image credit: © USF Health
Jeanette Carpenter, MD
Related Content
© 2023 MJH Life Sciences

All rights reserved.