AIMC Topic: Infant

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Plasma cell-free RNA signatures of inflammatory syndromes in children.

Proceedings of the National Academy of Sciences of the United States of America Sep 6, 2024
Inflammatory syndromes, including those caused by infection, are a major cause of hospital admissions among children and are often misdiagnosed because of a lack of advanced molecular diagnostic tools. In this study, we explored the utility of circul...
Diagnosis, Differential Bacterial Infections Virus Diseases Systemic Inflammatory Response Syndrome Inflammation Cell-Free Nucleic Acids Mucocutaneous Lymph Node Syndrome Machine Learning COVID-19 Biomarkers Humans Female Adolescent Male Child, Preschool Infant Child
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Machine learning-enhanced electrical impedance myography to diagnose and track spinal muscular atrophy progression.

Physiological measurement Sep 6, 2024
To evaluate electrical impedance myography (EIM) in conjunction with machine learning (ML) to detect infantile spinal muscular atrophy (SMA) and disease progression.. Twenty-six infants with SMA and twenty-seven healthy infants had been enrolled and ...
Humans Disease Progression Discriminant Analysis Electric Impedance Muscular Atrophy, Spinal Machine Learning Myography Female Male Infant
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A developmental model of audio-visual attention (MAVA) for bimodal language learning in infants and robots.

Scientific reports Sep 3, 2024
A social individual needs to effectively manage the amount of complex information in his or her environment relative to his or her own purpose to obtain relevant information. This paper presents a neural architecture aiming to reproduce attention mec...
Humans Language Visual Perception Language Development Auditory Perception Learning Infant Robotics Attention
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Prediction of delayed breastfeeding initiation among mothers having children less than 2 months of age in East Africa: application of machine learning algorithms.

Frontiers in public health Sep 2, 2024
BACKGROUND: Delayed breastfeeding initiation is a significant public health concern, and reducing the proportion of delayed breastfeeding initiation in East Africa is a key strategy for lowering the Child Mortality rate. However, there is limited evi...
Middle Aged Infant Infant, Newborn Humans Adolescent Young Adult Socioeconomic Factors Machine Learning Time Factors Adult Algorithms Breast Feeding Cross-Sectional Studies Female Mothers Africa, Eastern
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Detecting pediatric appendicular fractures using artificial intelligence.

Revista da Associacao Medica Brasileira (1992) Aug 30, 2024
OBJECTIVE: The primary objective was to assess the diagnostic accuracy of a deep learning-based artificial intelligence model for the detection of acute appendicular fractures in pediatric patients presenting with a recent history of trauma to the em...
Sensitivity and Specificity Adolescent Radiography Male Child, Preschool Humans Infant Emergency Service, Hospital Child Artificial Intelligence Deep Learning Fractures, Bone Female Reproducibility of Results
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Development and Internal-External Validation of a Post-Operative Mortality Risk Calculator for Pediatric Surgical Patients in Low- and Middle- Income Countries Using Machine Learning.

Journal of pediatric surgery Aug 29, 2024
BACKGROUND: The purpose of this study was to develop and validate a mortality risk algorithm for pediatric surgery patients treated at KidsOR sites in 14 low- and middle-income countries.
Humans Retrospective Studies Female Male Machine Learning Algorithms Surgical Procedures, Operative Child, Preschool Risk Assessment Child Postoperative Complications Hospital Mortality Infant Developing Countries Adolescent
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The diagnostic value of artificial intelligence-assisted imaging for developmental dysplasia of the hip: a systematic review and meta-analysis.

Journal of orthopaedic surgery and research Aug 29, 2024
OBJECTIVE: To clarify the efficacy of artificial intelligence (AI)-assisted imaging in the diagnosis of developmental dysplasia of the hip (DDH) through a meta-analysis.
Humans Artificial Intelligence Prospective Studies Hip Dislocation, Congenital Developmental Dysplasia of the Hip Sensitivity and Specificity Infant
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Application of machine-learning models to predict the ganciclovir and valganciclovir exposure in children using a limited sampling strategy.

Antimicrobial agents and chemotherapy Aug 28, 2024
Intravenous ganciclovir and oral valganciclovir display significant variability in ganciclovir pharmacokinetics, particularly in children. Therapeutic drug monitoring currently relies on the area under the concentration-time (AUC). Machine-learning (...
Antiviral Agents Area Under Curve Bayes Theorem Drug Monitoring Administration, Intravenous Valganciclovir Ganciclovir Cytomegalovirus Infections Administration, Oral Infant Adolescent Humans Child, Preschool Child Machine Learning Algorithms Female Male
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Exploring the determinants of under-five mortality and morbidity from infectious diseases in Cambodia-a traditional and machine learning approach.

Scientific reports Aug 27, 2024
Cambodia has made progress in reducing the under-five mortality rate and burden of infectious diseases among children over the last decades. However the determinants of child mortality and morbidity in Cambodia is not well understood, and no recent a...
Infant, Newborn Risk Factors Adult Male Humans Machine Learning Communicable Diseases Female Child Mortality Infant Mortality Cambodia Infant Child, Preschool Socioeconomic Factors Morbidity
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Development and testing of a deep learning algorithm to detect lung consolidation among children with pneumonia using hand-held ultrasound.

PloS one Aug 27, 2024
BACKGROUND AND OBJECTIVES: Severe pneumonia is the leading cause of death among young children worldwide, disproportionately impacting children who lack access to advanced diagnostic imaging. Here our objectives were to develop and test the accuracy ...
Child Ultrasonography Pneumonia Lung Deep Learning Adolescent Child, Preschool Female Humans Male Algorithms Point-of-Care Systems Prospective Studies Infant
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