AIMC Topic: Infant

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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.
Humans Machine Learning Retrospective Studies Female Procalcitonin Bacterial Infections Predictive Value of Tests C-Reactive Protein Fever Infant, Newborn Male Infant Logistic Models
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Evaluating the accuracy of artificial intelligence-powered chest X-ray diagnosis for paediatric pulmonary tuberculosis (EVAL-PAEDTBAID): Study protocol for a multi-centre diagnostic accuracy study.

BMJ open Jul 28, 2025
INTRODUCTION: Diagnosing pulmonary tuberculosis (PTB) in children is challenging owing to paucibacillary disease, non-specific symptoms and signs and challenges in microbiological confirmation. Chest X-ray (CXR) interpretation is fundamental for diag...
South Africa Pakistan Tuberculosis, Pulmonary Radiography, Thoracic Female Humans Sensitivity and Specificity Artificial Intelligence Male Algorithms Infant Prospective Studies Adolescent Child, Preschool Child Multicenter Studies as Topic
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The potential of machine learning in classifying relapse and non-relapse in children with clubfoot based on movement patterns.

Scientific reports Jul 28, 2025
The diverse nature and timing of a clubfoot relapse pose challenges for early detection. A relapsed clubfoot typically involves a combination of deformities affecting a child's movement pattern across multiple joint levels, formed by a complex kinema...
Biomechanical Phenomena Male Infant Child, Preschool Humans Machine Learning Algorithms Female Child Recurrence Movement Clubfoot
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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 ...
Image Processing, Computer-Assisted Fundus Oculi Retinopathy of Prematurity Photography Infant, Newborn Infant Deep Learning ROC Curve Humans
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Artificial intelligence platform to predict children's hospital care for respiratory disease using clinical, pollution, and climatic factors.

Journal of global health Jul 21, 2025
BACKGROUND: Hospitals and health care systems may benefit from artificial intelligence (AI) and big data to analyse clinical information combined with external sources. Machine learning, a subset of AI, uses algorithms trained on data to generate pre...
Child, Preschool Child Emergency Service, Hospital Air Pollution Hospitals, Pediatric Climate Respiratory Tract Diseases Male Brazil Infant Adolescent Machine Learning Forecasting Female Hospitalization Humans Artificial Intelligence
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Plasma proteomics for biomarker discovery in childhood tuberculosis.

Nature communications Jul 19, 2025
Failure to rapidly diagnose tuberculosis disease (TB) and initiate treatment is a driving factor of TB as a leading cause of death in children. Current TB diagnostic assays have poor performance in children, thus a global priority is the identificati...
Child, Preschool Child Proteomics Proteome Blood Proteins Tuberculosis Male Infant Humans Adolescent Machine Learning HIV Infections Biomarkers Female
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Usability and Usefulness of SMS-Based Artificial Intelligence Intervention (Mwana) on Breastfeeding Outcomes in Lagos, Nigeria: Pilot App Development Study.

JMIR formative research Jul 16, 2025
BACKGROUND: Nigeria has one of the highest child mortality rates globally, with 111 deaths per 1000 live births. Exclusive breastfeeding (EBF) improves infant survival by providing essential nutrients and antibodies that protect against infections an...
Infant Pilot Projects Nigeria Mobile Applications Breast Feeding Telemedicine Mothers Text Messaging Humans Artificial Intelligence Female Adult
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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 ...
Whole Genome Sequencing Cardiac Surgical Procedures Heart Defects, Congenital Exome Sequencing Humans Child, Preschool Forecasting Female Child Prospective Studies Infant, Newborn Genotype Male Treatment Outcome Infant
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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...
Drug Resistance Child, Preschool Child Mucocutaneous Lymph Node Syndrome Immunoglobulins, Intravenous Humans Machine Learning Algorithms Retrospective Studies Female Male 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...
Male Neurodevelopmental Disorders Humans Infant Machine Learning Infant, Premature Female Radar Infant, Newborn
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