Machine Learning Detects Intraventricular Haemorrhage in Extremely Preterm Infants.

Minoo AshooriJohn M O'Toole Ken D O'HalloranGunnar NaulaersLiesbeth ThewissenJan Miletin Po-Yin Cheung Afif Faisal El-KhuffashDavid Van LaereZbyněk StraňákEugene M DempseyFiona Brigid McDonald

Published in: Children (Basel, Switzerland) (2023)

and brain injury. Automated analysis of PRDs of the cerebral NIRS signal in extremely preterm infants may aid in better prediction of IVH compared with a threshold-based approach. Further investigation of the definition of the extracted PRDs and an understanding of the physiology underlying these events are required.

Keyphrases

preterm infants
brain injury
subarachnoid hemorrhage
machine learning
low birth weight
cerebral ischemia
deep learning
artificial intelligence
big data
cerebral blood flow