AIMC Topic: Child, Preschool

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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...
Deep Learning Convolutional Neural Networks Child, Preschool Electrocardiography Wavelet Analysis Heart Defects, Congenital Female Infant, Newborn Sensitivity and Specificity Male Infant Humans Neural Networks, Computer Retrospective Studies
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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...
Humans Retrospective Studies Female Infant, Newborn Child Fractures, Bone Radiographic Image Interpretation, Computer-Assisted Accidental Injuries Sensitivity and Specificity Male Infant Deep Learning Child, Preschool
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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 Decision Trees Bayes Theorem Health Surveys Female Anemia ROC Curve Male Logistic Models Infant Support Vector Machine Child, Preschool Ethiopia
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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...
Walking Gait Video Recording Gait Analysis Biomechanical Phenomena Male Infant Child, Preschool Humans Software Female Young Adult 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...
Biomarkers, Tumor Male Middle Aged Humans Tyrosinemias Infant Follow-Up Studies Machine Learning Adolescent Early Detection of Cancer Child, Preschool Retrospective Studies Female alpha-Fetoproteins Child Infant, Newborn Alkaline Phosphatase Liver Neoplasms Young Adult Alanine Transaminase Adult Carcinoma, Hepatocellular Longitudinal Studies
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MALDI-TOF mass spectrometry combined with machine learning algorithms to identify protein profiles related to malaria infection in human sera from Côte d'Ivoire.

Malaria journal Apr 18, 2025
BACKGROUND: In sub-Saharan Africa, Plasmodium falciparum is the most prevalent species of malaria parasites. In endemic areas, malaria is mainly diagnosed using microscopy or rapid diagnostic tests (RDTs), which have limited sensitivity, and microsco...
Plasmodium falciparum Cote d'Ivoire Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Malaria, Falciparum Humans Middle Aged Machine Learning Adolescent Child, Preschool Algorithms Child Female Young Adult Adult Male
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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 Child Emergency Service, Hospital Spain Clinical Decision Rules Spermatic Cord Torsion Prospective Studies Male Infant Adolescent Child, Preschool
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A deep learning approach for blood glucose monitoring and hypoglycemia prediction in glycogen storage disease.

Scientific reports Apr 15, 2025
Glycogen storage disease (GSD) is a group of rare inherited metabolic disorders characterized by abnormal glycogen storage and breakdown. These disorders are caused by mutations in G6PC1, which is essential for proper glucose storage and metabolism. ...
Glycogen Storage Disease Child, Preschool Child Hypoglycemia Blood Glucose Self-Monitoring Algorithms Retrospective Studies Female Adult Male Middle Aged Deep Learning Adolescent Blood Glucose Humans
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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 Humans Decision Trees Rotavirus Infections Infant Machine Learning Bayes Theorem Gastroenteritis Child, Preschool Retrospective Studies Rotavirus 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 Maternal Exposure Male Child Development Infant Machine Learning Neurodevelopmental Disorders Child, Preschool Pregnancy Exposome Environmental Pollutants Female Prenatal Exposure Delayed Effects Adult
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