Optimal timing of extubation in preterm infants

W Shalish, GM Sant'Anna - Seminars in Fetal and Neonatal Medicine, 2023 - Elsevier
In neonatal intensive care, endotracheal intubation is usually performed as an urgent or
semi-urgent procedure in infants with critical or unstable conditions related to progressive …

A clinical informatics approach to bronchopulmonary dysplasia: current barriers and future possibilities

AG Moreira, A Husain, LA Knake, K Aziz… - Frontiers in …, 2024 - frontiersin.org
Bronchopulmonary dysplasia (BPD) is a complex, multifactorial lung disease affecting
preterm neonates that can result in long-term pulmonary and non-pulmonary complications …

Failed extubation in neonates after cardiac surgery: A single-center, retrospective study

HC Wilson, ME Gunsaulus, GE Owens… - Pediatric Critical Care …, 2023 - journals.lww.com
OBJECTIVES: To describe factors associated with failed extubation (FE) in neonates
following cardiovascular surgery, and the relationship with clinical outcomes. DESIGN …

Predicting Extubation Readiness in Preterm Infants Utilizing Machine Learning: A Diagnostic Utility Study

M Brasher, A Virodov, TM Raffay, HS Bada… - The Journal of …, 2024 - Elsevier
Objective The objective of this study was to predict extubation readiness in preterm infants
using machine learning analysis of bedside pulse oximeter and ventilator data. Study design …

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

AC Jenkinson, T Dassios… - Journal of Perinatal …, 2024 - degruyter.com
Objectives Mechanical ventilation in prematurely born infants, particularly if prolonged, can
cause long term complications including bronchopulmonary dysplasia. Timely extubation …

[HTML][HTML] Developing a model to predict neonatal respiratory distress syndrome and affecting factors using data mining: A cross-sectional study

P Farshid, K Mirnia, P Rezaei-Hachesu… - International Journal …, 2023 - ncbi.nlm.nih.gov
Background: One of the major challenges that hospitals and clinicians face is the early
identification of newborns at risk for adverse events. One of them is neonatal respiratory …

Digital Variation of Machine Learning Through Basic Diagnostic Test Application Approach: an Integrative Literature Review

S Sanatang, MA Ismail - Poltekita: Jurnal Ilmu Kesehatan, 2023 - jurnal.poltekkespalu.ac.id
Abstract Electronic Medical Records (EMRs) are digital applications of machine learning
models that function to receive and store clinical data related to medical information for the …

Predicting Endotracheal Intubation Needs in Neonatal Intensive Care Unit: A Multimodal Approach

KH Kim, JC Park, GY Kim, JY Maeng… - … on Circuits/Systems …, 2024 - ieeexplore.ieee.org
Background and objectives: Neonatal intubation is a widely used procedure for high-risk
neonates. However, it is unknown about the appropriate timing of intubation. Our study aims …

EBNEO commentary: Prediction of extubation failure among low birthweight neonates using machine learning.

B Gandhi, J Hagan, M Patil - Acta Paediatrica, 2023 - search.ebscohost.com
Prolonged mechanical ventilation in neonates is associated with mortality and significant
morbidity.[1] As a result, best practices strive for early extubation and non-invasive …

Neonatal Outcomes of Extubation with the New Positive Pressure Approach Compared to the Traditional Negative Pressure: A Randomized Controlled Trial

S Nourollahi, A Direkvand-Moghadam, P Solimani - ijp.mums.ac.ir
Background: In addition to the benefits of mechanical ventilation, this method is, sometimes,
associated with complications, especially in long-term use. The present clinical trial …