AIMC Topic: Child, Hospitalized
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Machine Learning for Predicting Critical Events Among Hospitalized Children.
JAMA network open
May 1, 2025
IMPORTANCE: Unrecognized deterioration among hospitalized children is associated with a high risk of mortality and morbidity. The current approach to pediatric risk stratification is fragmented, as each hospital unit (emergency, ward, or intensive ca...
Effectiveness of social robots in improving psychological well-being of hospitalised children: A systematic review and meta-analysis.
Journal of pediatric nursing
Feb 17, 2025
AIM: To evaluate the effectiveness of social robots in reducing pain, stress, and anxiety among hospitalised children.
Attitudes on Artificial Intelligence use in Pediatric Care From Parents of Hospitalized Children.
The Journal of surgical research
Nov 27, 2023
INTRODUCTION: Artificial intelligence (AI) may benefit pediatric healthcare, but it also raises ethical and pragmatic questions. Parental support is important for the advancement of AI in pediatric medicine. However, there is little literature descri...
Novel approaches to capturing and using continuous cardiorespiratory physiological data in hospitalized children.
Pediatric research
Nov 3, 2022
Continuous cardiorespiratory physiological monitoring is a cornerstone of care in hospitalized children. The data generated by monitoring devices coupled with machine learning could transform the way we provide care. This scoping review summarizes ex...
Predicting presumed serious infection among hospitalized children on central venous lines with machine learning.
Computers in biology and medicine
Feb 20, 2021
BACKGROUND: Presumed serious infection (PSI) is defined as a blood culture drawn and new antibiotic course of at least 4 days among pediatric patients with Central Venous Lines (CVLs). Early PSI prediction and use of medical interventions can prevent...
Using social robot PLEO to enhance the well-being of hospitalised children.
Journal of child health care : for professionals working with children in the hospital and community
Aug 25, 2020
Hospitalisation is stressful for children. Play material is often offered for distraction and comfort. We explored how contact with social robot PLEO could positively affect a child's well-being. To this end, we performed a multiple case study on the...
Pilot Testing a Robot for Reducing Pain in Hospitalized Preterm Infants.
OTJR : occupation, participation and health
Feb 15, 2019
Optimizing neurodevelopment is a key goal of neonatal occupational therapy. In preterm infants, repeated procedural pain is associated with adverse effects on neurodevelopment long term. Calmer is a robot designed to reduce infant pain. The objective...
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.
An ensemble boosting model for predicting transfer to the pediatric intensive care unit.
International journal of medical informatics
Jan 9, 2018
BACKGROUND: Early deterioration indicators have the potential to alert hospital care staff in advance of adverse events, such as patients requiring an increased level of care, or the need for rapid response teams to be called. Our work focuses on the...
Mobile Robotic Telepresence Solutions for the Education of Hospitalized Children.
Perspectives in health information management
Oct 1, 2017
Hospitalization affects children's school attendance, resulting in poor academic and sociodevelopmental outcomes. The increasing ubiquity of mobile and tablet technology in educational and healthcare environments, and the growth of the mobile robotic...
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