Results 151 to 160 of about 29,130 (214)

Modeling Oxygen Saturation Targets, Mortality, and Retinopathy Among Extremely Preterm Infants.

open access: yesJAMA Netw Open
King BC   +6 more
europepmc   +1 more source

Predictive utility of a simple cranial magnetic resonance imaging score at term‐equivalent age for cerebral palsy

open access: yesDevelopmental Medicine &Child Neurology, EarlyView.
This study evaluated the Total Abnormality Score (TAS) from cMRI at term‐equivalent age as a predictor of cerebral palsy (CP) in 137 infants born preterm or with low birthweight. Infants who developed CP had significantly higher TAS values (median 11 vs 2), with a TAS cut‐off of 9.5 demonstrating high sensitivity (88.9%) and specificity (91.4%) for CP ...
Anne‐Kathrin Dathe   +6 more
wiley   +1 more source

Concurrent validity and agreement of Bayley‐4, AIMS, and HINE assessments in 1‐year‐old children

open access: yesDevelopmental Medicine &Child Neurology, EarlyView.
In this cross‐sectional study of children around 1‐year‐old, the Bayley‐4 showed concurrent validity and moderate to substantial agreement with the AIMS and the HINE in both clinical and home settings. Abstract Aim To examine concurrent validity between the Bayley Scales of Infant and Toddler Development, Fourth Edition (Bayley‐4) gross motor subtest ...
Weiyang Deng   +14 more
wiley   +1 more source

Decreasing Exposure to Mechanical Ventilation in Extremely Preterm Infants. [PDF]

open access: yesPediatrics
Gentle SJ   +8 more
europepmc   +1 more source

Longitudinal speech and gross motor function development in children and adolescents with cerebral palsy

open access: yesDevelopmental Medicine &Child Neurology, EarlyView.
Aim To examine longitudinal changes in speech and gross motor function in children with cerebral palsy (CP) between 4 years and 14 years of age using the Viking Speech Scale (VSS) and the Gross Motor Function Classification System (GMFCS). Method In this longitudinal observational study, 44 children (26 male, 18 female) with CP were assessed at ages 4 ...
Sydney A. Jensen, Katherine C. Hustad
wiley   +1 more source

Machine learning approaches in automated infant General Movements Assessment: A scoping review

open access: yesDevelopmental Medicine &Child Neurology, EarlyView.
Automated infant General Movements Assessment increasingly uses machine‐ and deep‐learning approaches to classify movement patterns and estimate cerebral palsy risk from video or sensor data. This scoping review highlights how dataset characteristics, recording environment, pose‐estimation accuracy, feature extraction, and model design influence system
Manpreet Kaur   +4 more
wiley   +1 more source

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