AI Article Synopsis
- Researchers evaluated a new method called Brain State of the Newborn (BSN) using deep-learning EEG to monitor the severity of hypoxic-ischemic encephalopathy (HIE) in neonates.
- The study involved 46 neonates with HIE and compared their BSN scores to those of healthy infants.
- Findings showed that early BSN could effectively differentiate between normal and abnormal outcomes and correlated with the Total Sarnat Score, providing a potential bedside marker for assessing HIE severity.
Article 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.
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| http://dx.doi.org/10.1038/s41390-024-03427-6 | DOI Listing |
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