AIMC Topic: Infant

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External validation of automated focal cortical dysplasia detection using morphometric analysis.

Epilepsia Feb 27, 2021
OBJECTIVE: Focal cortical dysplasias (FCDs) are a common cause of drug-resistant focal epilepsy but frequently remain undetected by conventional magnetic resonance imaging (MRI) assessment. The visual detection can be facilitated by morphometric anal...
Middle Aged Infant Adolescent Child, Preschool Child Female Imaging, Three-Dimensional Humans Aged Magnetic Resonance Imaging Neural Networks, Computer Young Adult Drug Resistant Epilepsy Retrospective Studies Adult Malformations of Cortical Development Male
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CKLF and IL1B transcript levels at diagnosis are predictive of relapse in children with pre-B-cell acute lymphoblastic leukaemia.

British journal of haematology Feb 23, 2021
Disease relapse is the greatest cause of treatment failure in paediatric B-cell acute lymphoblastic leukaemia (B-ALL). Current risk stratifications fail to capture all patients at risk of relapse. Herein, we used a machine-learning approach to identi...
Machine Learning Female Male Risk Assessment Infant Humans Interleukin-1beta Acute Disease Survival Analysis Treatment Failure Chemokines Transcriptome Adolescent Child, Preschool Child Predictive Value of Tests Recurrence Precursor B-Cell Lymphoblastic Leukemia-Lymphoma MARVEL Domain-Containing Proteins
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Automatic segmentation and location learning of neonatal cerebral ventricles in 3D ultrasound data combining CNN and CPPN.

Computers in biology and medicine Feb 17, 2021
Preterm neonates are highly likely to suffer from ventriculomegaly, a dilation of the Cerebral Ventricular System (CVS). This condition can develop into life-threatening hydrocephalus and is correlated with future neuro-developmental impairments. Con...
Humans Neural Networks, Computer Algorithms Infant, Newborn Infant Ultrasonography Imaging, Three-Dimensional Image Processing, Computer-Assisted Cerebral Ventricles
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Classification of COVID-19 by Compressed Chest CT Image through Deep Learning on a Large Patients Cohort.

Interdisciplinary sciences, computational life sciences Feb 9, 2021
Corona Virus Disease (COVID-19) has spread globally quickly, and has resulted in a large number of causalities and medical resources insufficiency in many countries. Reverse-transcriptase polymerase chain reaction (RT-PCR) testing is adopted as biops...
Child, Preschool Aged Child ROC Curve Aged, 80 and over Humans Middle Aged Thorax Young Adult COVID-19 Tomography, X-Ray Computed Infant Adult Data Compression Deep Learning Female Male Infant, Newborn Reproducibility of Results Adolescent SARS-CoV-2 Cohort Studies
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Classification of paediatric brain tumours by diffusion weighted imaging and machine learning.

Scientific reports Feb 4, 2021
To determine if apparent diffusion coefficients (ADC) can discriminate between posterior fossa brain tumours on a multicentre basis. A total of 124 paediatric patients with posterior fossa tumours (including 55 Medulloblastomas, 36 Pilocytic Astrocyt...
Humans Machine Learning Female Brain Neoplasms Male Diffusion Magnetic Resonance Imaging Astrocytoma Cerebellar Neoplasms Medulloblastoma Ependymoma Infant Adolescent Child, Preschool Child Pediatrics
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Machine Learning of Patient Characteristics to Predict Admission Outcomes in the Undiagnosed Diseases Network.

JAMA network open Feb 1, 2021
IMPORTANCE: The Undiagnosed Diseases Network (UDN) is a national network that evaluates individual patients whose signs and symptoms have been refractory to diagnosis. Providing reliable estimates of admission outcomes may assist clinical evaluators ...
Referral and Consultation Patient Admission Rare Diseases Undiagnosed Diseases Middle Aged Infant Adolescent Child, Preschool Child Infant, Newborn ROC Curve Reproducibility of Results Humans Triage Machine Learning Young Adult Area Under Curve Prospective Studies Adult Whole Genome Sequencing Computer Simulation Male Patient Selection Retrospective Studies Female
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Deep Learning for EEG Seizure Detection in Preterm Infants.

International journal of neural systems Jan 30, 2021
EEG is the gold standard for seizure detection in the newborn infant, but EEG interpretation in the preterm group is particularly challenging; trained experts are scarce and the task of interpreting EEG in real-time is arduous. Preterm infants are re...
Electroencephalography Humans Epilepsy Infant, Newborn Seizures Infant Infant, Premature Deep Learning
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Identifying Factors Associated with Neonatal Mortality in Sub-Saharan Africa using Machine Learning.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 25, 2021
This study aimed at identifying the factors associated with neonatal mortality. We analyzed the Demographic and Health Survey (DHS) datasets from 10 Sub-Saharan countries. For each survey, we trained machine learning models to identify women who had ...
Infant Humans Surveys and Questionnaires Machine Learning Africa South of the Sahara Female Infant Mortality Infant, Newborn Mothers Male
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Dynamics of Systemic Inflammation as a Function of Developmental Stage in Pediatric Acute Liver Failure.

Frontiers in immunology Jan 15, 2021
The Pediatric Acute Liver Failure (PALF) study is a multicenter, observational cohort study of infants and children diagnosed with this complex clinical syndrome. Outcomes in PALF reflect interactions among the child's clinical condition, response to...
Inflammation Age Factors Predictive Value of Tests Humans Liver Transplantation Female Diagnosis, Computer-Assisted Liver Failure, Acute Machine Learning Inflammation Mediators Reproducibility of Results Adolescent Decision Support Techniques Time Factors Risk Factors Biomarkers Child, Preschool Male Prognosis Child Infant
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Development of a machine learning model for predicting pediatric mortality in the early stages of intensive care unit admission.

Scientific reports Jan 13, 2021
The aim of this study was to develop a predictive model of pediatric mortality in the early stages of intensive care unit (ICU) admission using machine learning. Patients less than 18 years old who were admitted to ICUs at four tertiary referral hosp...
Child Mortality Infant Mortality Patient Admission Child, Preschool Child Hospital Mortality Intensive Care Units, Pediatric Models, Biological Machine Learning Retrospective Studies Female Humans Male Infant
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