AIMC Topic: Infant

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Associations among white matter microstructural changes and the development of emotional reactivity and regulation in infancy.

Molecular psychiatry Apr 23, 2025
Deficits in emotional reactivity and regulation assessed in infancy, including high levels of negative emotionality (NE), low positive emotionality (PE) and low soothability, can predict future affective and behavioral disorders. White matter (WM) tr...
Humans Brain White Matter Neural Pathways Diffusion Tensor Imaging Child Development Emotional Regulation Female Male Infant Magnetic Resonance Imaging Emotions
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Prediction of Reactivation After Antivascular Endothelial Growth Factor Monotherapy for Retinopathy of Prematurity: Multimodal Machine Learning Model Study.

Journal of medical Internet research Apr 23, 2025
BACKGROUND: Retinopathy of prematurity (ROP) is the leading preventable cause of childhood blindness. A timely intravitreal injection of antivascular endothelial growth factor (anti-VEGF) is required to prevent retinal detachment with consequent visi...
Vascular Endothelial Growth Factor A Intravitreal Injections Retinopathy of Prematurity Female Infant, Newborn Male Infant Angiogenesis Inhibitors Humans Machine Learning
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Using deep learning for estimation of time-since-injury in pediatric accidental fractures.

Pediatric radiology Apr 22, 2025
BACKGROUND: Estimating time-since-injury of healing fractures is imprecise, encompassing excessively wide timeframes. Most injured children are evaluated at non-children's hospitals, yet pediatric radiologists can disagree with up to one in six skele...
Retrospective Studies Female Infant, Newborn Sensitivity and Specificity Male Humans Fractures, Bone Radiographic Image Interpretation, Computer-Assisted Accidental Injuries Infant Deep Learning Child, Preschool Child
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Optimizing machine learning models for predicting anemia among under-five children in Ethiopia: insights from Ethiopian demographic and health survey data.

BMC pediatrics Apr 22, 2025
BACKGROUND: Healthcare practitioners require a robust predictive system to accurately diagnose diseases, especially in young children with conditions such as anemia. Delays in diagnosis and treatment can have severe consequences, potentially leading ...
Humans Machine Learning Algorithms Female Male Infant Support Vector Machine Ethiopia Decision Trees Child, Preschool Bayes Theorem Health Surveys Anemia ROC Curve Logistic Models
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From marker to markerless: Validating DeepLabCut for 2D sagittal plane gait analysis in adults and newly walking toddlers.

Journal of biomechanics Apr 18, 2025
The use of 3D marker-based motion analysis systems is considered the gold standard for tracking limb movements. However, these systems are expensive, limited to laboratory settings, and difficult to apply when studying paediatric populations. Therefo...
Gait Video Recording Gait Analysis Male Infant Child, Preschool Walking Software Humans Female Young Adult Adult Biomechanical Phenomena
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Integrating Machine Learning and Follow-Up Variables to Improve Early Detection of Hepatocellular Carcinoma in Tyrosinemia Type 1: A Multicenter Study.

International journal of molecular sciences Apr 18, 2025
Hepatocellular carcinoma (HCC) is a major complication of tyrosinemia type 1 (HT-1), an inborn error of metabolism affecting tyrosine catabolism. The risk of HCC is higher in late diagnoses despite treatment. Alpha-fetoprotein (AFP) is widely used to...
Biomarkers, Tumor Alanine Transaminase Male Tyrosinemias Middle Aged Infant Adolescent Female Infant, Newborn Longitudinal Studies Young Adult Humans Child, Preschool Follow-Up Studies Machine Learning Adult Child Early Detection of Cancer Retrospective Studies Liver Neoplasms alpha-Fetoproteins Carcinoma, Hepatocellular Alkaline Phosphatase
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A retrospective study using machine learning to develop predictive model to identify rotavirus-associated acute gastroenteritis in children.

PeerJ Apr 14, 2025
BACKGROUND: Rotavirus is the leading cause of severe dehydrating diarrhea in children under 5 years worldwide. Timely diagnosis is critical, but access to confirmatory testing is limited in hospital settings. Machine learning (ML) models have shown p...
Support Vector Machine Male Decision Trees Humans Rotavirus Infections Bayes Theorem Infant Machine Learning Gastroenteritis Rotavirus Child, Preschool Retrospective Studies Diarrhea Female India
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Using machine learning to investigate the influence of the prenatal chemical exposome on neurodevelopment of young children.

Neurotoxicology Apr 11, 2025
Research investigating the prenatal chemical exposome and child neurodevelopment has typically focused on a limited number of chemical exposures and controlled for sociodemographic factors and maternal mental health. Emerging machine learning approac...
Humans Machine Learning Child Development Neurodevelopmental Disorders Exposome Infant Pregnancy Child, Preschool Female Environmental Pollutants Adult Prenatal Exposure Delayed Effects Male Maternal Exposure
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Prediction of outpatient visits for allergic rhinitis using an artificial intelligence LSTM model - a study in Eastern China.

BMC public health Apr 9, 2025
BACKGROUND: Allergic rhinitis is a common disease that can affect the health of patients and bring huge social and economic burdens. In this study, we developed a model to predict the incidence rate of allergic rhinitis so as to provide accurate info...
Child Air Pollution Rhinitis, Allergic Ambulatory Care Outpatients China Adolescent Incidence Child, Preschool Humans Artificial Intelligence Forecasting Female Aged Young Adult Adult Male Middle Aged Infant
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Transformer-based deep learning ensemble framework predicts autism spectrum disorder using health administrative and birth registry data.

Scientific reports Apr 7, 2025
Early diagnosis and access to resources, support and therapy are critical for improving long-term outcomes for children with autism spectrum disorder (ASD). ASD is typically detected using a case-finding approach based on symptoms and family history,...
Ontario Registries Neonatal Screening Humans Databases, Factual Autism Spectrum Disorder Female Infant, Newborn Male Infant Deep Learning Child, Preschool
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