AIMC Topic: Infant, Newborn

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Development of a machine learning-based prediction model for serious bacterial infections in febrile young infants.

BMJ paediatrics open Jul 30, 2025
BACKGROUND: To develop and validate machine learning (ML)-based models to predict serious bacterial infections (SBIs) in febrile infants aged ≤90 days.
Machine Learning Retrospective Studies Female Infant, Newborn Humans Bacterial Infections Predictive Value of Tests C-Reactive Protein Fever Male Infant Logistic Models Procalcitonin
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Development and validation of a deep learning image quality feedback system for infant fundus photography.

Scientific reports Jul 23, 2025
Retinopathy of prematurity (ROP) is a significant cause of childhood blindness. Many healthcare institutions face a shortage of well-trained ophthalmologists for conducting screenings. Hence, we have developed the Deep Learning Infant Fundus Quality ...
Retinopathy of Prematurity Photography Humans Infant, Newborn Infant Deep Learning ROC Curve Image Processing, Computer-Assisted Fundus Oculi
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Prediction of birthweight with early and mid-pregnancy antenatal markers utilising machine learning and explainable artificial intelligence.

Scientific reports Jul 19, 2025
Low birthweight (LBW) is a significant health challenge worldwide, as these neonates experience both short- and long-term disabilities. Factors affecting maternal and fetal health during early to mid-pregnancy can greatly influence fetal development....
Humans Artificial Intelligence Machine Learning Algorithms Prospective Studies Female Biomarkers Infant, Newborn Pregnancy Adult Birth Weight
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Integrating vision transformer-based deep learning model with kernel extreme learning machine for non-invasive diagnosis of neonatal jaundice using biomedical images.

Scientific reports Jul 15, 2025
Birth complications, particularly jaundice, are one of the leading causes of adolescent death and disease all over the globe. The main severity of these illnesses may diminish if scholars study more about their sources and progress toward effective t...
Machine Learning Algorithms Female Infant, Newborn Humans Deep Learning Image Processing, Computer-Assisted Jaundice, Neonatal Extreme Learning Machines
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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 ...
Heart Defects, Congenital Exome Sequencing Infant Child, Preschool Child Genotype Treatment Outcome Whole Genome Sequencing Cardiac Surgical Procedures Prospective Studies Female Infant, Newborn Humans Male Forecasting
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Longitudinal studies on breastfeeding among preterm infants: a scoping review.

BMC pregnancy and childbirth Jul 9, 2025
AIM: This study aims to assess the exclusive breastfeeding rate among preterm infants, examine the factors influencing breastfeeding practices, and identify evidence-based interventions to enhance lactation support.
Humans Female Infant, Premature Infant, Newborn Longitudinal Studies Breast Feeding
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Association Between COVID-19 During Pregnancy and Preterm Birth by Trimester of Infection: Retrospective Cohort Study Using Large-Scale Social Media Data.

Journal of medical Internet research Jul 9, 2025
BACKGROUND: Preterm birth, defined as birth at <37 weeks of gestation, is the leading cause of neonatal death globally and the second leading cause of infant mortality in the United States. There is mounting evidence that COVID-19 infection during pr...
Pregnancy Pregnancy Trimesters Female Infant, Newborn Premature Birth Humans COVID-19 SARS-CoV-2 Retrospective Studies Adult Social Media Pregnancy Complications, Infectious
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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...
Humans Infant Machine Learning Female Infant, Premature Infant, Newborn Radar Male Neurodevelopmental Disorders
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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...
Infant ROC Curve United States Registries Infant Mortality Pregnancy Humans Female Machine Learning Infant, Newborn Algorithms Male
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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...
Neurogenesis Dentate Gyrus Neural Stem Cells Cell Proliferation Transcriptome Hippocampus Infant, Newborn Adolescent Humans Ki-67 Antigen Child Adult Child, Preschool Machine Learning Single-Cell Analysis Male Female RNA-Seq Infant Sequence Analysis, RNA
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