AIMC Topic: Child, Preschool

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Primary vs redo robotic pyeloplasty: A comparison of outcomes.

Journal of pediatric urology Feb 19, 2021
INTRODUCTION: Robot-assisted laparoscopic pyeloplasty (RALP) is a safe and efficacious option for repair of UPJO. We hypothesize that redo-RALP is technically more difficult but has comparable outcomes to primary RALP.
Kidney Pelvis Ureteral Obstruction Urologic Surgical Procedures Child Treatment Outcome Robotics Laparoscopy Robotic Surgical Procedures Humans Retrospective Studies Child, Preschool
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Performance of an artificial intelligence system for bone age assessment in Tibet.

The British journal of radiology Feb 9, 2021
OBJECTIVE: To investigate whether bone age (BA) of children living in Tibet Highland could be accurately assessed using a fully automated artificial intelligence (AI) system.
Age Determination by Skeleton Humans Male Adolescent Child Child, Preschool Image Processing, Computer-Assisted Artificial Intelligence Radiography Female Hand Reproducibility of Results Tibet
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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...
Tomography, X-Ray Computed Female Infant, Newborn Reproducibility of Results SARS-CoV-2 Aged Humans COVID-19 Child ROC Curve Thorax Data Compression Infant Deep Learning Adolescent Aged, 80 and over Young Adult Adult Male Middle Aged Cohort Studies Child, Preschool
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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 Pediatrics Machine Learning Diffusion Magnetic Resonance Imaging Female Astrocytoma Male Brain Neoplasms Cerebellar Neoplasms Infant Adolescent Medulloblastoma Child, Preschool Ependymoma Child
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Development and Validation of a Prediction Rule for Growth Hormone Deficiency Without Need for Pharmacological Stimulation Tests in Children With Risk Factors.

Frontiers in endocrinology Feb 3, 2021
INTRODUCTION: Practice guidelines cannot recommend establishing a diagnosis of growth hormone deficiency (GHD) without performing growth hormone stimulation tests (GHST) in children with risk factors, due to the lack of sufficient evidence.
Child, Preschool Reproducibility of Results Humans Dwarfism, Pituitary Child Risk Factors Machine Learning Predictive Value of Tests Male Algorithms Body Height Human Growth Hormone Brain Practice Guidelines as Topic Cohort Studies Female
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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 ...
Triage Area Under Curve Whole Genome Sequencing Patient Selection Referral and Consultation Infant Adolescent Child, Preschool Child ROC Curve Patient Admission Rare Diseases Undiagnosed Diseases Prospective Studies Computer Simulation Retrospective Studies Female Infant, Newborn Reproducibility of Results Young Adult Adult Male Middle Aged Humans Machine Learning
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Identifying intentional injuries among children and adolescents based on Machine Learning.

PloS one Jan 20, 2021
BACKGROUND: Compared to other studies, the injury monitoring of Chinese children and adolescents has captured a low level of intentional injuries on account of self-harm/suicide and violent attacks. Intentional injuries in children and adolescents ha...
Self-Injurious Behavior Violence Wounds and Injuries Adolescent Humans Suicide Machine Learning Child, Preschool Female Child Male Intention
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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...
Infant Diagnosis, Computer-Assisted Prognosis Inflammation Mediators Humans Female Liver Failure, Acute Adolescent Machine Learning Child Reproducibility of Results Time Factors Decision Support Techniques Risk Factors Child, Preschool Inflammation Biomarkers Male Age Factors Predictive Value of Tests Liver Transplantation
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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...
Retrospective Studies Female Male Infant Child, Preschool Models, Biological Child Mortality Infant Mortality Child Patient Admission Hospital Mortality Humans Intensive Care Units, Pediatric Machine Learning
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Age-group determination of living individuals using first molar images based on artificial intelligence.

Scientific reports Jan 13, 2021
Dental age estimation of living individuals is difficult and challenging, and there is no consensus method in adults with permanent dentition. Thus, we aimed to provide an accurate and robust artificial intelligence (AI)-based diagnostic system for a...
Adolescent Child, Preschool Child Age Factors Radiography, Panoramic Reproducibility of Results Age Determination by Teeth Humans Young Adult Molar Neural Networks, Computer Adult Radiography, Dental Artificial Intelligence Middle Aged Infant, Newborn Infant
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