AIMC Topic: Intensive Care Units, Pediatric

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The predictive value of soluble endothelial selectin plasma levels in children with acute lung injury.

Journal of critical care Dec 23, 2015
UNLABELLED: The study aimed to evaluate the value of soluble endothelial selectin (sE-selectin) plasma level measurement in predicting acute lung injury (ALI) outcome in children.
Egypt Acute Lung Injury Selectins Predictive Value of Tests C-Reactive Protein Male Respiration, Artificial Adolescent Child, Preschool Child Intensive Care Units, Pediatric Humans Prospective Studies Biomarkers Prognosis Female
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Diagnostic Stewardship of Blood Cultures in the Pediatric ICU Using Machine Learning.

Hospital pediatrics Jun 1, 2025
OBJECTIVE: The medical community recently experienced a severe shortage of blood culture media bottles. Rates of blood stream infection (BSI) among critically ill children are low. We sought to design a machine learning (ML) model able to identify ch...
Female Male Infant Humans Machine Learning Retrospective Studies Intensive Care Units, Pediatric Bacteremia Blood Culture Adolescent Child, Preschool Child
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Achieving SDoH Resource Equity in PICU Using an AI-Enabled Patient Navigator.

Studies in health technology and informatics May 15, 2025
Trauma care coordination in the pediatric intensive care unit (PICU), including personalization of resources based on social determinants of health (SDoH), is challenging for already strained healthcare providers. Patient SDoH data collection is inco...
Artificial Intelligence Child Intensive Care Units, Pediatric Health Equity Social Determinants of Health Resource Allocation Humans
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PROGNOSTIC ACCURACY OF MACHINE LEARNING MODELS FOR IN-HOSPITAL MORTALITY AMONG CHILDREN WITH PHOENIX SEPSIS ADMITTED TO THE PEDIATRIC INTENSIVE CARE UNIT.

Shock (Augusta, Ga.) Jan 1, 2025
Objective: The Phoenix sepsis criteria define sepsis in children with suspected or confirmed infection who have ≥2 in the Phoenix Sepsis Score. The adoption of the Phoenix sepsis criteria eliminated the Systemic Inflammatory Response Syndrome criteri...
Machine Learning Prognosis Retrospective Studies Humans Sepsis Adolescent Child, Preschool Female Male Infant Intensive Care Units, Pediatric Shock, Septic Child Hospital Mortality
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Narrowing the gap: expected versus deployment performance.

Journal of the American Medical Informatics Association : JAMIA Aug 18, 2023
OBJECTIVES: Successful model development requires both an accurate a priori understanding of future performance and high performance on deployment. Optimistic estimations of model performance that are unrealized in real-world clinical settings can co...
Intensive Care Units, Pediatric Humans Neural Networks, Computer Retrospective Studies Hospitalization Child
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Clinical Informatics and Quality Improvement in the Pediatric Intensive Care Unit.

Pediatric clinics of North America Jun 1, 2022
Clinical informatics can support quality improvement and patient safety in the pediatric intensive care unit (PICU) in several ways including data extraction, analysis, and decision support enabled by electronic health records (EHRs), and databases a...
Humans Quality Improvement Artificial Intelligence Electronic Health Records Child Intensive Care Units, Pediatric Decision Support Systems, Clinical
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Neural Networks for Mortality Prediction: Ready for Prime Time?

Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies Jun 1, 2021
Humans Neural Networks, Computer Child Intensive Care Units, Pediatric
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Continuous Prediction of Mortality in the PICU: A Recurrent Neural Network Model in a Single-Center Dataset.

Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies Jun 1, 2021
OBJECTIVES: Develop, as a proof of concept, a recurrent neural network model using electronic medical records data capable of continuously assessing an individual child's risk of mortality throughout their ICU stay as a proxy measure of severity of i...
Infant Child Hospital Mortality Intensive Care Units, Pediatric ROC Curve Humans Neural Networks, Computer Retrospective Studies
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[Application of the artificial intelligence-rapid whole-genome sequencing diagnostic system in the neonatal/pediatric intensive care unit].

Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics May 1, 2021
Pediatric patients in the neonatal intensive care unit (NICU) and the pediatric intensive care unit (PICU) have a high incidence rate of genetic diseases, and early rapid etiological diagnosis and targeted interventions can help to reduce mortality o...
Infant, Newborn Child Intensive Care Units, Pediatric Whole Genome Sequencing Intensive Care Units, Neonatal Humans Artificial Intelligence Critical Illness
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Potential Prognostic Markers in the Heart Rate Variability Features for Early Diagnosis of Sepsis in the Pediatric Intensive Care Unit using Convolutional Neural Network Classifiers.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2020
Blood infection due to different circumstances could immediately develop to an extreme body reaction that leads to a serious life-threatening condition, called Sepsis. Currently, therapeutic protocols through timely antibiotic resuscitation strategie...
Heart Rate Early Diagnosis Sepsis Child Intensive Care Units, Pediatric Humans Neural Networks, Computer Prognosis
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