Neurodevelopmental Outcome in Very Low Birth Weight Preterm Infants: An Exploratory Multivariable Analysis Including Sonographic Brain Volume Trajectories—Data from the NeoNEVS Project

<b>Background</b>: Extremely and very preterm infants are at high risk for adverse neurodevelopmental outcomes. Early prediction remains challenging when relying on static clinical markers or single time-point neuroimaging. Serial cranial ultrasound (CUS) enables repeated bedside assessment of cereb...

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Principais autores:	Simon Loth, Julia Hauer, Marcus Krüger, Renée Lampe, Irina Sidorenko, Alexander Bieber, Christian Brickmann
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2026-06-01
coleção:	Children
Assuntos:	preterm infant neurodevelopment cranial ultrasound brain volume machine learning support vector machine
Acesso em linha:	https://www.mdpi.com/2227-9067/13/6/815
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