AIMC Topic: Child, Preschool

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Evaluation and accurate diagnoses of pediatric diseases using artificial intelligence.

Nature medicine Feb 11, 2019
Artificial intelligence (AI)-based methods have emerged as powerful tools to transform medical care. Although machine learning classifiers (MLCs) have already demonstrated strong performance in image-based diagnoses, analysis of diverse and massive e...
Adolescent Child, Preschool Child Natural Language Processing Pediatrics Humans Male Artificial Intelligence Infant Proof of Concept Study Diagnosis, Computer-Assisted Female Infant, Newborn Reproducibility of Results Machine Learning Retrospective Studies Electronic Health Records Deep Learning China
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Machine learning for MEG during speech tasks.

Scientific reports Feb 7, 2019
We consider whether a deep neural network trained with raw MEG data can be used to predict the age of children performing a verb-generation task, a monosyllable speech-elicitation task, and a multi-syllabic speech-elicitation task. Furthermore, we ar...
Humans Speech Child Machine Learning Adolescent Female Child, Preschool Male Signal Processing, Computer-Assisted Magnetoencephalography
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An integrated molecular diagnostic report for heart transplant biopsies using an ensemble of diagnostic algorithms.

The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation Feb 6, 2019
BACKGROUND: We previously reported a microarray-based diagnostic system for heart transplant endomyocardial biopsies (EMBs), using either 3-archetype (3AA) or 4-archetype (4AA) unsupervised algorithms to estimate rejection. In the present study we ex...
Algorithms Female Aged Young Adult Adult Male Humans Machine Learning Heart Failure Heart Transplantation Pathology, Molecular Child Middle Aged ROC Curve Risk Assessment Predictive Value of Tests Adolescent Graft Rejection Cohort Studies Myocardium Child, Preschool
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Automatic real-time gait event detection in children using deep neural networks.

PloS one Jan 31, 2019
Annotation of foot-contact and foot-off events is the initial step in post-processing for most quantitative gait analysis workflows. If clean force plate strikes are present, the events can be automatically detected. Otherwise, annotation of gait eve...
Child Adult Gait Foot Cerebral Palsy Humans Biomechanical Phenomena Nervous System Diseases Neural Networks, Computer Male Developmental Disabilities Algorithms Adolescent Female Child, Preschool Young Adult
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Prediction of mortality following pediatric heart transplant using machine learning algorithms.

Pediatric transplantation Jan 29, 2019
BACKGROUND: Optimizing transplant candidates' priority for donor organs depends on the accurate assessment of post-transplant outcomes. Due to the complexity of transplantation and the wide range of possible serious complications, recipient outcomes ...
Child, Preschool Child Regression Analysis Humans Mortality Databases, Factual Area Under Curve Heart Failure Neural Networks, Computer Female Registries Machine Learning Pediatrics Male Algorithms Infant Calibration Adolescent Heart Transplantation Multivariate Analysis
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Rapid detection of internalizing diagnosis in young children enabled by wearable sensors and machine learning.

PloS one Jan 16, 2019
There is a critical need for fast, inexpensive, objective, and accurate screening tools for childhood psychopathology. Perhaps most compelling is in the case of internalizing disorders, like anxiety and depression, where unobservable symptoms cause c...
Psychopathology Psychology, Child Logistic Models Models, Statistical Signal Processing, Computer-Assisted Depression Supervised Machine Learning Humans Wearable Electronic Devices Affect Female Child, Preschool Sensitivity and Specificity Child Male ROC Curve Anxiety
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Predicting Hemodynamic Shock from Thermal Images using Machine Learning.

Scientific reports Jan 14, 2019
Proactive detection of hemodynamic shock can prevent organ failure and save lives. Thermal imaging is a non-invasive, non-contact modality to capture body surface temperature with the potential to reveal underlying perfusion disturbance in shock. In ...
Optical Imaging Humans Shock, Cardiogenic Machine Learning Thermometry Male Infant Adolescent Models, Statistical Child, Preschool Blood Pressure Child Heart Rate Longitudinal Studies
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Automated identification for autism severity level: EEG analysis using empirical mode decomposition and second order difference plot.

Behavioural brain research Jan 11, 2019
BACKGROUND: Previous automated EEG-based diagnosis of autism spectrum disorders (ASD) using various nonlinear EEG analysis methods were limited to distinguish only children with ASD from those normally developed without approaching their autistic fea...
Child Electroencephalography Signal Processing, Computer-Assisted Autistic Disorder Behavior Autism Spectrum Disorder Female Sensitivity and Specificity Male Child, Preschool Humans Neural Networks, Computer
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Accuracy of robot-assisted versus optical frameless navigated stereoelectroencephalography electrode placement in children.

Journal of neurosurgery. Pediatrics Jan 4, 2019
OBJECTIVE The aim of this study was to compare the accuracy of optical frameless neuronavigation (ON) and robot-assisted (RA) stereoelectroencephalography (SEEG) electrode placement in children, and to identify factors that might increase the risk of...
Electroencephalography Brain Waves Stereotaxic Techniques Drug Resistant Epilepsy Electrodes, Implanted Child, Preschool Child Imaging, Three-Dimensional Magnetic Resonance Imaging Robotics Optical Devices Neuronavigation Tomography Scanners, X-Ray Computed Humans Brain Retrospective Studies Female Male
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Machine Learning-Based Prediction of Clinical Outcomes for Children During Emergency Department Triage.

JAMA network open Jan 4, 2019
IMPORTANCE: While machine learning approaches may enhance prediction ability, little is known about their utility in emergency department (ED) triage.
Humans Machine Learning Prognosis Female Hospitalization Male Adolescent Child, Preschool Critical Care Quality Improvement Child Critical Care Outcomes Models, Educational United States Child, Hospitalized Predictive Value of Tests Triage Emergency Service, Hospital
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