AIMC Topic: Child, Preschool

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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.
Male Humans Eye-Tracking Technology Machine Learning Eye Movements Algorithms Child, Preschool Child Prospective Studies Autism Spectrum Disorder Retrospective Studies Female Support Vector Machine Early Diagnosis Social Cognition
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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...
Female Male Postoperative Complications Adolescent Reoperation Cohort Studies Decompression, Surgical Child, Preschool Arnold-Chiari Malformation Child Cranial Fossa, Posterior Humans Treatment Outcome Machine Learning Patient Readmission Prognosis Retrospective Studies
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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 Aged Young Adult Adult Male Humans Middle Aged Machine Learning Infant Female Adolescent Melanoma Child, Preschool Skin Neoplasms Child
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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...
Machine Learning Child Intensive Care Units, Pediatric Critical Illness Follow-Up Studies Humans Female Patient Discharge Male Child, Preschool
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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 ...
Public Health Cohort Studies Child, Preschool Child Geography Guinea-Bissau Humans Machine Learning Infant
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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.
Child, Preschool Male Humans Child Algorithms Heart Sounds Infant Prospective Studies Heart Murmurs Diagnosis, Differential Deep Learning Heart Auscultation Female 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 ...
Neural Networks, Computer Retrospective Studies Tomography, X-Ray Computed Female Infant, Newborn Humans Imaging, Three-Dimensional Organ Size Heart Deep Learning Young Adult Heart Transplantation Adolescent Adult Cardiac Volume Child, Preschool Male Child Infant
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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 Retrospective Studies Female Male Cardiovascular Diseases Predictive Value of Tests Heart Failure Natriuretic Peptide, Brain Humans Neural Networks, Computer Artificial Intelligence
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Bi-DexHands: Towards Human-Level Bimanual Dexterous Manipulation.

IEEE transactions on pattern analysis and machine intelligence Apr 3, 2024
Achieving human-level dexterity in robotics remains a critical open problem. Even simple dexterous manipulation tasks pose significant difficulties due to the high number of degrees of freedom and the need for cooperation among heterogeneous agents (...
Learning Humans Child, Preschool Algorithms Robotics Hand Sports
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Machine learning prediction model of major adverse outcomes after pediatric congenital heart surgery: a retrospective cohort study.

International journal of surgery (London, England) Apr 1, 2024
BACKGROUND: Major adverse postoperative outcomes (APOs) can greatly affect mortality, hospital stay, care management and planning, and quality of life. This study aimed to evaluate the performance of five machine learning (ML) algorithms for predicti...
Humans Infant Infant, Newborn Machine Learning Child, Preschool Cardiac Surgical Procedures Retrospective Studies Male Child Heart Defects, Congenital Female Risk Assessment ROC Curve Postoperative Complications Pneumonia
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