MAINTENANCE EN COURS / SITE UNDER MAINTENANCE

Une opération de maintenance est en cours: les résultats de recherches et les exportations peuvent être incohérent.
Site under maintenance: search & exportation results could be inconsistent.
 

Free access via computational cloud to deep learning-based EEG assessment in neonatal hypoxic-ischemic encephalopathy: revolutionary opportunities to overcome health disparities.

Dilena, Robertino;Cilio, Maria-Roberta
(2024) Pediatric Research : international journal of human developmental biology — Vol. 96, n° 4, p. 841-843 (2024)

Files

2024_Dilena_Pediatr_Res_AB.pdf
  • Open Access
  • Adobe PDF
  • 136.49 KB
Download

Details

Authors
Abstract
In this issue of Pediatric Research, Kota et al. evaluate a novel monitoring visual trend using deep-learning - Brain State of the Newborn (BSN)- based EEG as a bedside marker for severity of the encephalopathy in 46 neonates with hypoxic-ischemic encephalopathy (HIE) compared with healthy infants. Early BSN distinguished between normal and abnormal outcome, and correlated with the Total Sarnat Score.
Affiliations

Citations

  • APA
  • Chicago
  • FWB

Dilena, R., & Cilio, M.-R. (2024). Free access via computational cloud to deep learning-based EEG assessment in neonatal hypoxic-ischemic encephalopathy: revolutionary opportunities to overcome health disparities. Pediatric Research : international journal of human developmental biology, 96(4), 841-843. https://doi.org/10.1038/s41390-024-03427-6 (Original work published 2024)