AIMC Topic: Infant

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Investigation of a dysmorphic facial phenotype in patients with Gaucher disease types 2 and 3.

Molecular genetics and metabolism Oct 5, 2021
Gaucher disease (GD) is a rare lysosomal storage disorder that is divided into three subtypes based on presentation of neurological manifestations. Distinguishing between the types has important implications for treatment and counseling. Yet, patient...
Humans Artificial Intelligence Software Phenotype Female Adolescent Cohort Studies Child, Preschool Child ROC Curve Infant, Newborn Young Adult Adult Male Infant Gaucher Disease Facial Recognition Musculoskeletal Abnormalities
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Comparison of machine learning algorithms applied to symptoms to determine infectious causes of death in children: national survey of 18,000 verbal autopsies in the Million Death Study in India.

BMC public health Oct 4, 2021
BACKGROUND: Machine learning (ML) algorithms have been successfully employed for prediction of outcomes in clinical research. In this study, we have explored the application of ML-based algorithms to predict cause of death (CoD) from verbal autopsy r...
Child, Preschool Child Humans India Machine Learning Cause of Death Algorithms Autopsy Communicable Diseases Infant
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A Continuously Benchmarked and Crowdsourced Challenge for Rapid Development and Evaluation of Models to Predict COVID-19 Diagnosis and Hospitalization.

JAMA network open Oct 1, 2021
IMPORTANCE: Machine learning could be used to predict the likelihood of diagnosis and severity of illness. Lack of COVID-19 patient data has hindered the data science community in developing models to aid in the response to the pandemic.
Benchmarking COVID-19 Testing Crowdsourcing Washington Clinical Decision Rules Hospitalization Child, Preschool Aged Child COVID-19 Aged, 80 and over ROC Curve Humans Models, Statistical Male Young Adult Algorithms Machine Learning Area Under Curve Prognosis Middle Aged Adult Female Infant Infant, Newborn Severity of Illness Index Adolescent
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Artificial Intelligence Algorithm Improves Radiologist Performance in Skeletal Age Assessment: A Prospective Multicenter Randomized Controlled Trial.

Radiology Sep 28, 2021
Background Previous studies suggest that use of artificial intelligence (AI) algorithms as diagnostic aids may improve the quality of skeletal age assessment, though these studies lack evidence from clinical practice. Purpose To compare the accuracy ...
Age Determination by Skeleton Humans Child, Preschool Artificial Intelligence Adult Child Prospective Studies Sensitivity and Specificity Radiography Female Male Radiologists Reproducibility of Results Infant Radiographic Image Interpretation, Computer-Assisted Adolescent
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Robot-assisted laparoscopic urologic surgery in infants weighing ≤10 kg: A weight stratified analysis.

Journal of pediatric urology Sep 27, 2021
INTRODUCTION: Robot-assisted laparoscopic (RAL) urologic surgery is widely used in pediatric patients, though less commonly in infants. There are small series demonstrating safety and efficacy in infants, however, stratification by infant size has ra...
Retrospective Studies Infant Child Treatment Outcome Robotics Laparoscopy Robotic Surgical Procedures Kidney Pelvis Ureteral Obstruction Humans Urologic Surgical Procedures
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Combining multi-site magnetic resonance imaging with machine learning predicts survival in pediatric brain tumors.

Scientific reports Sep 23, 2021
Brain tumors represent the highest cause of mortality in the pediatric oncological population. Diagnosis is commonly performed with magnetic resonance imaging. Survival biomarkers are challenging to identify due to the relatively low numbers of indiv...
Neoplasm Grading Biopsy Survival Analysis Kaplan-Meier Estimate Humans Magnetic Resonance Angiography Machine Learning Brain Diffusion Magnetic Resonance Imaging Female Adolescent Infant, Newborn Child, Preschool Brain Neoplasms Child Male Image Processing, Computer-Assisted Risk Assessment Bayes Theorem Infant
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A Machine Learning Model for Evaluating Imported Disease Screening Strategies in Immigrant Populations.

The American journal of tropical medicine and hygiene Sep 20, 2021
Given the high prevalence of imported diseases in immigrant populations, it has postulated the need to establish screening programs that allow their early diagnosis and treatment. We present a mathematical model based on machine learning methodologie...
Humans Machine Learning Retrospective Studies Female Asia South America Central America Africa Communicable Diseases, Imported Adolescent Child, Preschool Mexico Cross-Sectional Studies Child Mass Screening Male Models, Theoretical Early Diagnosis Middle Aged Infant, Newborn Spain Infant Aged Emigrants and Immigrants Prevalence Aged, 80 and over Young Adult Adult
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Explainable artificial intelligence based analysis for interpreting infant fNIRS data in developmental cognitive neuroscience.

Communications biology Sep 15, 2021
In the last decades, non-invasive and portable neuroimaging techniques, such as functional near infrared spectroscopy (fNIRS), have allowed researchers to study the mechanisms underlying the functional cognitive development of the human brain, thus f...
Growth Artificial Intelligence Infant Spectroscopy, Near-Infrared Humans Neuroimaging Cognitive Neuroscience
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Automatic detection and monitoring of abnormal skull shape in children with deformational plagiocephaly using deep learning.

Scientific reports Sep 9, 2021
Craniofacial anomaly including deformational plagiocephaly as a result of deformities in head and facial bones evolution is a serious health problem in newbies. The impact of such condition on the affected infants is profound from both medical and so...
Data Accuracy Monitoring, Ambulatory Head Skull Plagiocephaly, Nonsynostotic Humans Infant Severity of Illness Index Deep Learning Child, Preschool Child Smartphone Mobile Applications Cephalometry
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Machine learning model for predicting the optimal depth of tracheal tube insertion in pediatric patients: A retrospective cohort study.

PloS one Sep 2, 2021
OBJECTIVE: To construct a prediction model for optimal tracheal tube depth in pediatric patients using machine learning.
Child, Preschool Child Trachea Intubation, Intratracheal Humans Machine Learning Retrospective Studies Infant
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