AIMC Topic: Intensive Care Units, Neonatal
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Machine Learning to Support Hemodynamic Intervention in the Neonatal Intensive Care Unit.
Clinics in perinatology
May 20, 2020
Hemodynamic support in neonatal intensive care is directed at maintaining cardiovascular wellbeing. At present, monitoring of vital signs plays an essential role in augmenting care in a reactive manner. By applying machine learning techniques, a mode...
Predicting the serum digoxin concentrations of infants in the neonatal intensive care unit through an artificial neural network.
BMC pediatrics
Dec 27, 2019
BACKGROUND: Given its narrow therapeutic range, digoxin's pharmacokinetic parameters in infants are difficult to predict due to variation in birth weight and gestational age, especially for critically ill newborns. There is limited evidence to suppor...
Optimizing neural networks for medical data sets: A case study on neonatal apnea prediction.
Artificial intelligence in medicine
Jul 25, 2019
OBJECTIVE: The neonatal period of a child is considered the most crucial phase of its physical development and future health. As per the World Health Organization, India has the highest number of pre-term births [1], with over 3.5 million babies born...
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...
Natural Language Processing for Cohort Discovery in a Discharge Prediction Model for the Neonatal ICU.
Applied clinical informatics
Feb 24, 2016
OBJECTIVES: Discharging patients from the Neonatal Intensive Care Unit (NICU) can be delayed for non-medical reasons including the procurement of home medical equipment, parental education, and the need for children's services. We previously created ...
"Tele-rounding" with a remotely controlled mobile robot in the neonatal intensive care unit.
Journal of telemedicine and telecare
Jun 26, 2015
OBJECTIVE: To investigate the feasibility of 'tele-rounding' in the neonatal intensive care.
Ensemble of trees approaches to risk adjustment for evaluating a hospital's performance.
Health care management science
Apr 29, 2014
A commonly used method for evaluating a hospital's performance on an outcome is to compare the hospital's observed outcome rate to the hospital's expected outcome rate given its patient (case) mix and service. The process of calculating the hospital'...
Socioeconomic Factors
Hospital Administration
Humans
Bayes Theorem
Pregnancy Complications
Intensive Care Units, Neonatal
Artificial Intelligence
Prenatal Care
Birth Weight
Pregnancy
Gestational Age
Hospital Mortality
Outcome Assessment, Health Care
Female
Risk Adjustment
Logistic Models
Premature Birth
Diagnosis-Related Groups
Machine Learning for Clinical Decision Support in the Neonatal Intensive Care Unit.
NeoReviews
Jun 1, 2025
The neonatal intensive care unit (NICU) is a data-rich environment that is an ideal setting for the implementation of machine learning (ML) and artificial intelligence (AI) in clinical decision support (CDS). Despite their potential, ML and AI applic...
Machine learning models for predicting malnutrition in NICU patients: A comprehensive benchmarking study.
Computers in biology and medicine
Jun 1, 2025
Malnutrition, affecting both adults and children globally, results from inadequate nutrient intake or loss of body mass. Traditional screening tools, reliant on detailed questionnaires, are costly, time-consuming, and often lack accuracy and generali...
Machine Learning and Deep Learning in Detection of Neonatal Seizures: A Systematic Review.
Journal of evaluation in clinical practice
Apr 1, 2025
BACKGROUND: Neonatal seizures are one of the most prevalent clinical manifestations of neurological conditions, requiring urgent intervention and detection. Machine learning (ML) and Deep Learning (DL) is an emerging promising tool for detecting and ...
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