AIMC Topic: Infant

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Autonomous screening of infants at high risk for neurodevelopmental impairments using a radar sensor and machine learning.

Scientific reports Jul 7, 2025
Neurodevelopmental impairments (NDIs) are significant long-term complications in preterm infants. While early recognition of infants at high risk for NDIs is essential for enabling timely intervention, it remains a challenging endeavor. Autonomous sc...
Infant, Premature Humans Radar Machine Learning Neurodevelopmental Disorders Female Infant, Newborn Male Infant
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Development and evaluation of machine learning training strategies for neonatal mortality prediction using multicountry data.

Scientific reports Jul 7, 2025
Neonatal mortality poses a critical challenge in global health, particularly in low- and middle-income countries. Leveraging advancements in technology, such as machine learning (ML) algorithms, offers the potential to improve neonatal care by enabli...
Humans Machine Learning Algorithms Pregnancy ROC Curve United States Registries Female Infant Mortality Infant, Newborn Male Infant
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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...
Humans Female Seasons Gastroenteritis Deep Learning Child, Preschool Child ROC Curve Risk Factors Male Infant
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Identification of proliferating neural progenitors in the adult human hippocampus.

Science (New York, N.Y.) Jul 3, 2025
Continuous adult hippocampal neurogenesis is involved in memory formation and mood regulation but is challenging to study in humans. Difficulties finding proliferating progenitor cells called into question whether and how new neurons may be generated...
Child Single-Cell Analysis RNA-Seq Sequence Analysis, RNA Transcriptome Adolescent Child, Preschool Dentate Gyrus Neural Stem Cells Cell Proliferation Hippocampus Ki-67 Antigen Neurogenesis Humans Machine Learning Female Infant, Newborn Adult Male Infant
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Attentional responses in toddlers: A protocol for assessing the impact of a robotic animated animal and a real dog.

PloS one Jul 2, 2025
BACKGROUND: Attentional processes in toddlers are characterized by a state of alertness in which they focus their waking state for short periods. It is essential to develop assessment and attention stimulation protocols from an early age to improve t...
Robotics Dogs Attention Photic Stimulation Infant Child, Preschool Cognition Humans Female Animals Male
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Expert-augmented machine learning for predicting extubation readiness in the pediatric intensive care unit.

BMC medical informatics and decision making Jul 1, 2025
BACKGROUND: Determining extubation readiness in pediatric intensive care units (PICU) is challenging. We used expert-augmented machine learning (EAML), a method that combines machine learning with human expert knowledge, to predict successful extubat...
Child Intensive Care Units, Pediatric Female Humans Airway Extubation Male Infant Child, Preschool Machine Learning Electronic Health Records
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A comprehensive study based on machine learning models for early identification Mycoplasma pneumoniae infection in segmental/lobar pneumonia.

Scientific reports Jul 1, 2025
Segmental/lobar pneumonia in children following Mycoplasma pneumoniae (MP) infection has a significant threat to the children's health, so early recognition of MP infection is critical to reduce the severity and improve the prognosis of segmental/lob...
Child Early Diagnosis Pneumonia, Mycoplasma Humans Mycoplasma pneumoniae Male Machine Learning Infant Algorithms Child, Preschool Female
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Potential use of saliva infrared spectra and machine learning for a minimally invasive screening test for congenital syphilis in infants.

Scientific reports Jul 1, 2025
Congenital syphilis is a global public health issue, and its diagnostic complexity poses a challenge to early treatment. Fourier Transform Infrared Spectroscopy (FTIR) is a promising technological tool that facilitates the detection and diagnosis of ...
Principal Component Analysis Saliva Syphilis, Congenital Sensitivity and Specificity Male Infant Spectroscopy, Fourier Transform Infrared Humans Machine Learning Female Infant, Newborn
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GenAI exceeds clinical experts in predicting acute kidney injury following paediatric cardiopulmonary bypass.

Scientific reports Jul 1, 2025
The emergence of large language models (LLMs) opens new horizons to leverage, often unused, information in clinical text. Our study aims to capitalise on this new potential. Specifically, we examine the utility of text embeddings generated by LLMs in...
Female Male Postoperative Complications Infant Child, Preschool Child Cardiopulmonary Bypass Humans Algorithms Acute Kidney Injury Electronic Health Records
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Personalized azithromycin treatment rules for children with watery diarrhea using machine learning.

Nature communications Jul 1, 2025
We use machine learning to identify innovative strategies to target azithromycin to the children with watery diarrhea who are most likely to benefit. Using data from a randomized trial of azithromycin for watery diarrhea (NCT03130114), we develop per...
Humans Child Diarrhea Treatment Outcome Female Machine Learning Azithromycin Male Anti-Bacterial Agents Infant Precision Medicine Child, Preschool
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