AIMC Topic: Extracorporeal Membrane Oxygenation
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Machine Learning Identifies Higher Survival Profile In Extracorporeal Cardiopulmonary Resuscitation.
Critical care medicine
Mar 27, 2024
OBJECTIVES: Extracorporeal cardiopulmonary resuscitation (ECPR) has been shown to improve neurologically favorable survival in patients with refractory out-of-hospital cardiac arrest (OHCA) caused by shockable rhythms. Further refinement of patient s...
Neurologic Statistical Prognostication and Risk Assessment for Kids on Extracorporeal Membrane Oxygenation-Neuro SPARK.
ASAIO journal (American Society for Artificial Internal Organs : 1992)
Dec 21, 2023
This study presents Neuro-SPARK, the first scoring system developed to assess the risk of neurologic injury in pediatric and neonatal patients on extracorporeal membrane oxygenation (ECMO). Using the extracorporeal life support organization (ELSO) re...
Deetect: A Deep Learning-Based Image Analysis Tool for Quantification of Adherent Cell Populations on Oxygenator Membranes after Extracorporeal Membrane Oxygenation Therapy.
Biomolecules
Dec 3, 2022
The strong interaction of blood with the foreign surface of membrane oxygenators during ECMO therapy leads to adhesion of immune cells on the oxygenator membranes, which can be visualized in the form of image sequences using confocal laser scanning m...
Lactate levels as a prognostic predict in cardiogenic shock under venoarterial extracorporeal membrane oxygenation support.
Revista espanola de cardiologia (English ed.)
Nov 19, 2021
INTRODUCTION AND OBJECTIVES: Lactate and its evolution are associated with the prognosis of patients in shock, although there is little evidence in those assisted with an extracorporeal venoarterial oxygenation membrane (VA-ECMO). Our objective was t...
A maChine and deep Learning Approach to predict pulmoNary hyperteNsIon in newbornS with congenital diaphragmatic Hernia (CLANNISH): Protocol for a retrospective study.
PloS one
Nov 9, 2021
INTRODUCTION: Outcome predictions of patients with congenital diaphragmatic hernia (CDH) still have some limitations in the prenatal estimate of postnatal pulmonary hypertension (PH). We propose applying Machine Learning (ML), and Deep Learning (DL) ...
Machine learning to predict hemorrhage and thrombosis during extracorporeal membrane oxygenation.
Critical care (London, England)
Dec 10, 2020
Utility of gas inlet pressure monitoring in extracorporeal membrane oxygenation.
The International journal of artificial organs
Oct 8, 2020
PURPOSE: Purpose: Condensation that clogs the hollow fibers of the oxygenation and accumulation of plasma leaks reduces oxygenated lung capacity. In this study, artificial We evaluated whether monitoring changes in lung gas inlet pressure was a way t...
Predicting Survival After Extracorporeal Membrane Oxygenation by Using Machine Learning.
The Annals of thoracic surgery
May 23, 2020
BACKGROUND: Venoarterial (VA) extracorporeal membrane oxygenation (ECMO) undoubtedly saves many lives, but it is associated with a high degree of patient morbidity, mortality, and resource use. This study aimed to develop a machine learning algorithm...
Interhospital Transfer of Children in Septic Shock: A Clinician Interview Qualitative Study.
Journal of intensive care medicine
Dec 14, 2016
OBJECTIVE:: To determine the factors that influence the decision to transfer children in septic shock from level II to level I pediatric intensive care unit (PICU) care.
Temporary circulatory support for cardiogenic shock.
Current opinion in critical care
Aug 1, 2025
PURPOSE OF REVIEW: Temporary circulatory support (TCS) devices play a crucial role in stabilizing patients with refractory cardiogenic shock. They provide essential hemodynamic support and serve as a bridge to recovery, decision-making, heart transpl...
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