AIMC Topic: Infant

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Prediction of significant congenital heart disease in infants and children using continuous wavelet transform and deep convolutional neural network with 12-lead electrocardiogram.

BMC pediatrics Apr 24, 2025
BACKGROUND: Congenital heart disease (CHD) affects approximately 1% of newborns and is a leading cause of mortality in early childhood. Despite the importance of early detection, current screening methods, such as pulse oximetry and auscultation, hav...
Sensitivity and Specificity Male Infant Deep Learning Convolutional Neural Networks Child, Preschool Electrocardiography Wavelet Analysis Heart Defects, Congenital Neural Networks, Computer Retrospective Studies Female Infant, Newborn Humans
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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...
Diffusion Tensor Imaging Child Development Emotional Regulation Magnetic Resonance Imaging Emotions White Matter Humans Neural Pathways Brain Female Male Infant
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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...
Retinopathy of Prematurity Male Infant Angiogenesis Inhibitors Humans Vascular Endothelial Growth Factor A Intravitreal Injections Machine Learning Female Infant, Newborn
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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...
Fractures, Bone Radiographic Image Interpretation, Computer-Assisted Accidental Injuries Retrospective Studies Female Infant, Newborn Sensitivity and Specificity Male Infant Humans 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 ...
Decision Trees Bayes Theorem Anemia ROC Curve Logistic Models Support Vector Machine Ethiopia Humans Machine Learning Algorithms Female Male Infant Child, Preschool Health Surveys
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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...
Humans Walking Gait Video Recording Biomechanical Phenomena Software Gait Analysis Male Female Infant Young Adult Child, Preschool Adult
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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...
Alkaline Phosphatase Alanine Transaminase Tyrosinemias Carcinoma, Hepatocellular Adult Humans Retrospective Studies Longitudinal Studies Biomarkers, Tumor Adolescent Machine Learning Female Follow-Up Studies Male Infant, Newborn Early Detection of Cancer Child, Preschool Middle Aged Young Adult alpha-Fetoproteins Child Infant Liver Neoplasms
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Clinical Prediction Rules for Identifying Children With Testicular Torsion: A Multicenter Prospective Study.

Pediatric emergency care Apr 15, 2025
OBJECTIVES: To validate clinical scores [Testicular Workup for Ischemia and Suspected Torsion (TWIST), testicular torsion (TT) score, Artificial Intelligence-based Score (AIS), Boettcher Alert Score (BALS)] when evaluating children under 18 with non-...
Humans Prospective Studies Child Emergency Service, Hospital Spain Clinical Decision Rules Spermatic Cord Torsion Male Infant Adolescent Child, Preschool
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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...
India Male Support Vector Machine Humans Infant Rotavirus Machine Learning Decision Trees Child, Preschool Retrospective Studies Rotavirus Infections Bayes Theorem Diarrhea Female Gastroenteritis
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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...
Machine Learning Pregnancy Female Adult Male Humans Maternal Exposure Child Development Neurodevelopmental Disorders Exposome Infant Child, Preschool Environmental Pollutants Prenatal Exposure Delayed Effects
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