AIMC Topic: Child, Preschool

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Enhancing early autism diagnosis through machine learning: Exploring raw motion data for classification.

PloS one Apr 22, 2024
In recent years, research has been demonstrating that movement analysis, utilizing machine learning methods, can be a promising aid for clinicians in supporting autism diagnostic process. Within this field of research, we aim to explore new models an...
Movement Male Humans Child, Preschool Neural Networks, Computer Child Machine Learning Early Diagnosis Female Autistic Disorder
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Machine learning for predicting Chagas disease infection in rural areas of Brazil.

PLoS neglected tropical diseases Apr 16, 2024
INTRODUCTION: Chagas disease is a severe parasitic illness that is prevalent in Latin America and often goes unaddressed. Early detection and treatment are critical in preventing the progression of the illness and its associated life-threatening comp...
Humans Machine Learning Algorithms Adult Male Child, Preschool Middle Aged Child Female Brazil Rural Population Adolescent Chagas Disease Risk Factors Aged Young Adult
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Early identification of autism spectrum disorder based on machine learning with eye-tracking data.

Journal of affective disorders Apr 12, 2024
BACKGROUND: Early identification of autism spectrum disorder (ASD) improves long-term outcomes, yet significant diagnostic delays persist.
Retrospective Studies Female Male Eye-Tracking Technology Eye Movements Humans Social Cognition Child, Preschool Machine Learning Child Algorithms Support Vector Machine Prospective Studies Early Diagnosis Autism Spectrum Disorder
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Machine learning for enhanced prognostication: predicting 30-day outcomes following posterior fossa decompression surgery for Chiari malformation type I in a pediatric cohort.

Journal of neurosurgery. Pediatrics Apr 12, 2024
OBJECTIVE: Chiari malformation type I (CM-I) is a congenital disorder occurring in 0.1% of the population. In symptomatic cases, surgery with posterior fossa decompression (PFD) is the treatment of choice. Surgery is, however, associated with peri- a...
Cranial Fossa, Posterior Treatment Outcome Patient Readmission Reoperation Humans Decompression, Surgical Adolescent Machine Learning Arnold-Chiari Malformation Cohort Studies Prognosis Child, Preschool Retrospective Studies Child Female Male Postoperative Complications
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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...
Child, Preschool Child Membrane Proteins Mutation Proto-Oncogene Proteins B-raf Male Middle Aged Infant Adolescent Nevus, Epithelioid and Spindle Cell GTP Phosphohydrolases Humans Machine Learning Female Melanoma Skin Neoplasms Aged Young Adult Adult
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Predicting adverse long-term neurocognitive outcomes after pediatric intensive care unit admission.

Computer methods and programs in biomedicine Apr 10, 2024
BACKGROUND AND OBJECTIVE: Critically ill children may suffer from impaired neurocognitive functions years after ICU (intensive care unit) discharge. To assess neurocognitive functions, these children are subjected to a fixed sequence of tests. Underg...
Follow-Up Studies Female Patient Discharge Humans Male Machine Learning Child, Preschool Critical Illness Child Intensive Care Units, Pediatric
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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 ...
Infant Public Health Cohort Studies Child, Preschool Child Humans Machine Learning Geography Guinea-Bissau
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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.
Heart Sounds Humans Child, Preschool Algorithms Female Heart Murmurs Child Prospective Studies Male Diagnosis, Differential Infant Heart Auscultation Deep Learning Adolescent
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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 ...
Humans Imaging, Three-Dimensional Infant, Newborn Neural Networks, Computer Organ Size Young Adult Retrospective Studies Deep Learning Adult Tomography, X-Ray Computed Heart Adolescent Male Female Heart Transplantation Child, Preschool Infant Cardiac Volume Child
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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...
Infant Adolescent Child, Preschool Child Electrocardiography Predictive Value of Tests Heart Failure Natriuretic Peptide, Brain Artificial Intelligence Humans Retrospective Studies Neural Networks, Computer Female Male Cardiovascular Diseases
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