AIMC Topic: Infant

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Children's anthropomorphism of inanimate agents.

Wiley interdisciplinary reviews. Cognitive science Apr 24, 2024
This review article examines the extant literature on animism and anthropomorphism in infants and young children. A substantial body of work indicates that both infants and young children have a broad concept of what constitutes a sentient agent and ...
Robotics Infant Child Development Child, Preschool Social Behavior Child Social Perception Humans
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Correspondence to - "A machine learning algorithm predicting risk of dilating VUR among infants with hydronephrosis using UTD classification".

Journal of pediatric urology Apr 20, 2024
Hydronephrosis Humans Algorithms Machine Learning Risk Assessment Infant Vesico-Ureteral Reflux
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Predicting community acquired bloodstream infection in infants using full blood count parameters and C-reactive protein; a machine learning study.

European journal of pediatrics Apr 18, 2024
Early recognition of bloodstream infection (BSI) in infants can be difficult, as symptoms may be non-specific, and culture can take up to 48 h. As a result, many infants receive unneeded antibiotic treatment while awaiting the culture results. In thi...
Blood Cell Count Sensitivity and Specificity Male Infant Sepsis Bacteremia Decision Trees Predictive Value of Tests C-Reactive Protein Biomarkers Humans Retrospective Studies Machine Learning Female Infant, Newborn
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Application of Statistical Analysis and Machine Learning to Identify Infants' Abnormal Suckling Behavior.

IEEE journal of translational engineering in health and medicine Apr 17, 2024
OBJECTIVE: Identify infants with abnormal suckling behavior from simple non-nutritive suckling devices.
Breast Feeding Infant, Newborn Sucking Behavior Male Humans Infant Machine Learning Signal Processing, Computer-Assisted Female
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Predictive modeling for early detection of biliary atresia in infants with cholestasis: Insights from a machine learning study.

Computers in biology and medicine Apr 16, 2024
Cholestasis, characterized by the obstruction of bile flow, poses a significant concern in neonates and infants. It can result in jaundice, inadequate weight gain, and liver dysfunction. However, distinguishing between biliary atresia (BA) and non-bi...
Humans Machine Learning Female Infant, Newborn Male Infant Support Vector Machine Early Diagnosis Biliary Atresia Cholestasis
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Histological interpretation of spitzoid tumours: an extensive machine learning-based concordance analysis for improving decision making.

Histopathology Apr 12, 2024
The histopathological classification of melanocytic tumours with spitzoid features remains a challenging task. We confront the complexities involved in the histological classification of these tumours by proposing machine learning (ML) algorithms tha...
GTP Phosphohydrolases Membrane Proteins Mutation Proto-Oncogene Proteins B-raf Nevus, Epithelioid and Spindle Cell Young Adult Adult Male Middle Aged Infant Adolescent Child, Preschool Child Female Melanoma Skin Neoplasms Aged Humans Machine Learning
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Discovering Subgroups of Children With High Mortality in Urban Guinea-Bissau: Exploratory and Validation Cohort Study.

JMIR public health and surveillance Apr 9, 2024
BACKGROUND: The decline in global child mortality is an important public health achievement, yet child mortality remains disproportionally high in many low-income countries like Guinea-Bissau. The persisting high mortality rates necessitate targeted ...
Humans Machine Learning Infant Geography Guinea-Bissau Public Health Cohort Studies Child, Preschool Child
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Identifying pediatric heart murmurs and distinguishing innocent from pathologic using deep learning.

Artificial intelligence in medicine Apr 4, 2024
OBJECTIVE: To develop a deep learning algorithm to perform multi-class classification of normal pediatric heart sounds, innocent murmurs, and pathologic murmurs.
Female Male Adolescent Infant Heart Auscultation Child, Preschool Humans Heart Sounds Child Algorithms Deep Learning Heart Murmurs Diagnosis, Differential Prospective Studies
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Deep Learning for Automated Measurement of Total Cardiac Volume for Heart Transplantation Size Matching.

Pediatric cardiology Apr 3, 2024
Total Cardiac Volume (TCV)-based size matching using Computed Tomography (CT) is a novel technique to compare donor and recipient heart size in pediatric heart transplant that may increase overall utilization of available grafts. TCV requires manual ...
Adult Male Infant Deep Learning Tomography, X-Ray Computed Female Infant, Newborn Young Adult Organ Size Heart Heart Transplantation Humans Cardiac Volume Neural Networks, Computer Adolescent Retrospective Studies Child, Preschool Child Imaging, Three-Dimensional
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Prediction of adverse cardiovascular events in children using artificial intelligence-based electrocardiogram.

International journal of cardiology Apr 3, 2024
BACKGROUND: Convolutional neural networks (CNNs) have emerged as a novel method for evaluating heart failure (HF) in adult electrocardiograms (ECGs). However, such CNNs are not applicable to pediatric HF, where abnormal anatomy of congenital heart de...
Humans Neural Networks, Computer Child Electrocardiography Predictive Value of Tests Heart Failure Natriuretic Peptide, Brain Cardiovascular Diseases Infant Adolescent Child, Preschool Artificial Intelligence Retrospective Studies Female Male
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