AIMC Topic: Intensive Care Units, Neonatal

Clear Filters Showing 11 to 20 of 39 articles

Reassessing acquired neonatal intestinal diseases using unsupervised machine learning.

Pediatric research Feb 27, 2024
BACKGROUND: Acquired neonatal intestinal diseases have an array of overlapping presentations and are often labeled under the dichotomous classification of necrotizing enterocolitis (which is poorly defined) or spontaneous intestinal perforation, hind...
Infant, Newborn Male Cluster Analysis Retrospective Studies Female Infant, Newborn, Diseases Unsupervised Machine Learning Intensive Care Units, Neonatal Intestinal Diseases Humans Enterocolitis, Necrotizing
View on PubMed DOI

Artificial intelligence in the NICU to predict extubation success in prematurely born infants.

Journal of perinatal medicine Dec 8, 2023
OBJECTIVES: Mechanical ventilation in prematurely born infants, particularly if prolonged, can cause long term complications including bronchopulmonary dysplasia. Timely extubation then is essential, yet predicting its success remains challenging. Ar...
Infant Respiration, Artificial Intensive Care Units, Neonatal Forecasting Humans Airway Extubation Infant, Newborn Artificial Intelligence
View on PubMed DOI

Artificial intelligence in the neonatal intensive care unit: the time is now.

Journal of perinatology : official journal of the California Perinatal Association Jul 13, 2023
Artificial intelligence (AI) has the potential to revolutionize the neonatal intensive care unit (NICU) care by leveraging the large-scale, high-dimensional data that are generated by NICU patients. There is an emerging recognition that the confluenc...
Artificial Intelligence Infant, Newborn Intensive Care Units, Neonatal Humans
View on PubMed DOI

Face-based automatic pain assessment: challenges and perspectives in neonatal intensive care units.

Jornal de pediatria Jun 15, 2023
OBJECTIVE: To describe the challenges and perspectives of the automation of pain assessment in the Neonatal Intensive Care Unit.
Infant, Newborn Pain Measurement Intensive Care Units, Neonatal Pain Humans Artificial Intelligence
View on PubMed DOI

Ensemble Approach on Deep and Handcrafted Features for Neonatal Bowel Sound Detection.

IEEE journal of biomedical and health informatics Jun 5, 2023
For the care of neonatal infants, abdominal auscultation is considered a safe, convenient, and inexpensive method to monitor bowel conditions. With the help of early automated detection of bowel dysfunction, neonatologists could create a diagnosis pl...
Infant Auscultation Machine Learning Infant, Newborn Intensive Care Units, Neonatal Humans
View on PubMed DOI

AI-Guided Computing Insights into a Thermostat Monitoring Neonatal Intensive Care Unit (NICU).

Sensors (Basel, Switzerland) May 5, 2023
In any healthcare setting, it is important to monitor and control airflow and ventilation with a thermostat. Computational fluid dynamics (CFD) simulations can be carried out to investigate the airflow and heat transfer taking place inside a neonatal...
Ventilation Incubators Humans Artificial Intelligence Temperature Intensive Care Units, Neonatal Infant, Newborn
View on PubMed DOI

Automated prioritization of sick newborns for whole genome sequencing using clinical natural language processing and machine learning.

Genome medicine Mar 16, 2023
BACKGROUND: Rapidly and efficiently identifying critically ill infants for whole genome sequencing (WGS) is a costly and challenging task currently performed by scarce, highly trained experts and is a major bottleneck for application of WGS in the NI...
Humans Machine Learning Natural Language Processing Phenotype Whole Genome Sequencing Infant, Newborn Intensive Care Units, Neonatal
View on PubMed DOI

Multilayer dynamic ensemble model for intensive care unit mortality prediction of neonate patients.

Journal of biomedical informatics Oct 5, 2022
Robust and rabid mortality prediction is crucial in intensive care units because it is considered one of the critical steps for treating patients with serious conditions. Combining mortality prediction with the length of stay (LoS) prediction adds an...
Infant, Newborn Length of Stay Algorithms Intensive Care Units, Neonatal Humans Intensive Care Units Machine Learning
View on PubMed DOI

RGB-D scene analysis in the NICU.

Computers in biology and medicine Sep 20, 2021
Continuity of care is achieved in the neonatal intensive care unit (NICU) through careful documentation of all events of clinical significance, including clinical interventions and routine care events (e.g., feeding, diaper change, weighing, etc.). A...
Humans Neural Networks, Computer Algorithms Child Infant, Newborn Image Processing, Computer-Assisted Intensive Care Units, Neonatal
View on PubMed DOI

Hybridized neural networks for non-invasive and continuous mortality risk assessment in neonates.

Computers in biology and medicine Jun 3, 2021
Premature birth is the primary risk factor in neonatal deaths, with the majority of extremely premature babies cared for in neonatal intensive care units (NICUs). Mortality risk prediction in this setting can greatly improve patient outcomes and reso...
Gestational Age Intensive Care Units, Neonatal Infant, Newborn Pregnancy Humans Infant Risk Factors Risk Assessment Neural Networks, Computer Birth Weight Female
View on PubMed DOI
Popular Topics
Recent Journals