In recent years, exploration of the develo** brain has become a major focus for
researchers and clinicians in an attempt to understand what allows children to acquire …

Abstract Machine learning and deep learning are two subsets of artificial intelligence that
involve teaching computers to learn and make decisions from any sort of data. Most recent …

Premature birth has been associated with poor neurodevelopmental outcomes. However,
the relation between such outcomes and brain growth in the neonatal period has not yet …

Background and aims Preterm birth imposes a high risk for develo** neuromotor delay.
Earlier prediction of adverse outcome in preterm infants is crucial for referral to earlier …

METHODS: A prospective study of adverse early and late CUS and near-term conventional
MRI findings to predict outcomes at 6 to 7 years including a full-scale IQ (FSIQ)< 70 and …

The prevalence of disabled survivors of prematurity has increased dramatically in the past 3
decades. These survivors, especially, very preterm infants (VPIs), born≤ 32 weeks …

BACKGROUND AND OBJECTIVES Outcome prediction of preterm birth is important for
neonatal care, yet prediction performance using conventional statistical models remains …

Despite advances in neonatal care to prevent neonatal brain injury and
neurodevelopmental impairment, predicting long-term outcome in neonates at risk for brain …

Background Follow-up visits for very preterm infants (VPI) after hospital discharge is crucial
for their neurodevelopmental trajectories, but ensuring their attendance before 12 months …

Infants born very preterm face a range of neurodevelopmental challenges in cognitive,
language, behavioural and/or motor domains. Early accurate identification of those at risk of …