AIMC Topic: Child, Preschool

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Ensemble learning for microbiome-based caries diagnosis: multi-group modeling and biological interpretation from salivary and plaque metagenomic data.

BMC oral health Jul 17, 2025
BACKGROUND: Oral microbiota is a major etiological factor in the development of dental caries. Next-generation sequencing techniques have been widely used, generating vast amounts of data which is underexplored. The advancement of artificial intellig...
Machine Learning Female Male Child, Preschool Humans Microbiota Child Neural Networks, Computer Dental Plaque RNA, Ribosomal, 16S Metagenomics Dental Caries Saliva Ensemble Learning
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Genome sequencing is critical for forecasting outcomes following congenital cardiac surgery.

Nature communications Jul 10, 2025
While exome and whole genome sequencing have transformed medicine by elucidating the genetic underpinnings of both rare and common complex disorders, its utility to predict clinical outcomes remains understudied. Here, we use artificial intelligence ...
Humans Male Infant Child, Preschool Child Forecasting Prospective Studies Female Infant, Newborn Heart Defects, Congenital Genotype Exome Sequencing Treatment Outcome Whole Genome Sequencing Cardiac Surgical Procedures
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Ensemble machine learning prediction model for clinical refraction using partial interferometry measurements in childhood.

PloS one Jul 10, 2025
PURPOSE: To develop an ensemble machine learning prediction model for clinical refraction in childhood using partial interferometry measurements.
Child Interferometry Retrospective Studies Female Humans Male Machine Learning Refraction, Ocular Myopia Refractive Errors Adolescent Child, Preschool
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UBE2D1 as a key biomarker in systemic juvenile idiopathic arthritis: a new perspective on diagnosis and disease activity assessment.

Arthritis research & therapy Jul 9, 2025
BACKGROUND: Early diagnosis is crucial for reducing disability and improving long-term prognosis in patients with systemic Juvenile Idiopathic Arthritis (sJIA), but it remains a significant challenge. This study aims to identify non-invasive biomarke...
Male Adolescent Child, Preschool Child Monocytes Arthritis, Juvenile Ubiquitin-Conjugating Enzymes Humans Biomarkers Female
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Construction and evaluation of a height prediction model for children with growth disorders treated with recombinant human growth hormone.

BMC endocrine disorders Jul 9, 2025
BACKGROUND: Height gain in children with growth disorders undergoing recombinant human growth hormone (rhGH) therapy shows considerable variability. Predicting treatment outcomes is essential for optimizing individualized treatment strategies.
Humans Child Recombinant Proteins Follow-Up Studies Body Height Adolescent Human Growth Hormone Growth Disorders Child, Preschool Machine Learning Prognosis Female Male
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Artificial Intelligence-Enabled Facial Privacy Protection for Ocular Diagnosis: Development and Validation Study.

Journal of medical Internet research Jul 9, 2025
BACKGROUND: Facial biometric data, while valuable for clinical applications, poses substantial privacy and security risks.
Humans Child Artificial Intelligence Female Privacy Male Aged Face Middle Aged Adolescent Child, Preschool Aged, 80 and over Young Adult Adult
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Clinical prediction of intravenous immunoglobulin-resistant Kawasaki disease based on interpretable Transformer model.

PloS one Jul 9, 2025
Intravenous immunoglobulin (IVIG) has been established as the first-line therapy for Kawasaki disease (KD). However, approximately 10%-20% of pediatric patients exhibit IVIG resistance. Current machine learning (ML) models demonstrate suboptimal pred...
Mucocutaneous Lymph Node Syndrome Immunoglobulins, Intravenous Drug Resistance Male Infant Child, Preschool Child Humans Machine Learning Algorithms Retrospective Studies Female
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Discrimination of Dengue Diseases in Children Using Surface-Enhanced Raman Spectroscopy Coupled with Machine Learning Approaches.

Analytical chemistry Jul 7, 2025
This study introduces a novel approach to dengue diagnostics by leveraging surface-enhanced Raman spectroscopy (SERS) coupled to machine learning. This method addresses the critical need for rapid and accurate identification of dengue virus (DENV) in...
Dengue Spectrum Analysis, Raman Discriminant Analysis Dengue Virus Surface Properties Male Adolescent Child, Preschool Child Humans Machine Learning Female
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Employing machine learning for early detection of poly-victimization in rural children: a survey study in China's Chaoshan region.

BMC public health Jul 5, 2025
BACKGROUND: Poly-victimization (PV), encompassing multiple forms of victimization including physical abuse, emotional maltreatment, neglect, and peer violence, poses a significant public health challenge among children, particularly in rural areas wi...
Child, Preschool Child Rural Population Child Abuse Male Humans China Machine Learning Surveys and Questionnaires Female Adolescent Risk Factors Crime Victims
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Predictive analysis of pediatric gastroenteritis risk factors and seasonal variations using VGG Dense HybridNetClassifier a novel deep learning approach.

Scientific reports Jul 4, 2025
Pediatric gastroenteritis is a major reason for sickness and death among children worldwide, especially in places where healthcare and clean sanitation are scarce. Conventional methods of diagnosis overlook possible risks and seasonal trends, which r...
Child Male ROC Curve Humans Seasons Female Infant Gastroenteritis Deep Learning Risk Factors Child, Preschool
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