AIMC Topic: Extracorporeal Membrane Oxygenation

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Machine learning-based prediction of bleeding risk in extracorporeal membrane oxygenation patients using transfusion as a surrogate marker.

Transfusion Apr 25, 2025
BACKGROUND: The increasing use of extracorporeal membrane oxygenation (ECMO) has highlighted challenges in managing bleeding complications. Optimal transfusion strategies remain uncertain for this diverse patient group, necessitating accurate predict...
Humans Machine Learning Middle Aged ROC Curve Blood Transfusion Erythrocyte Transfusion Extracorporeal Membrane Oxygenation Hemorrhage Aged Adult Male Biomarkers Female Risk Factors
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[Acute respiratory distress syndrome-quo vadis : Innovative and individualized treatment approaches].

Medizinische Klinik, Intensivmedizin und Notfallmedizin Apr 22, 2025
Acute respiratory distress syndrome (ARDS) is a heterogeneous clinical syndrome characterized by variable pathophysiology and different therapeutic approaches. Recent guidelines emphasize the importance of prone positioning and venovenous extracorpor...
Extracorporeal Membrane Oxygenation Artificial Intelligence Precision Medicine Respiratory Distress Syndrome Humans
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AI-powered model for predicting mortality risk in VA-ECMO patients: a multicenter cohort study.

Scientific reports Mar 26, 2025
Veno-arterial extracorporeal membrane oxygenation (VA-ECMO) is a critical life support technology for severely ill patients. Despite its benefits, patients face high costs and significant mortality risks. To improve clinical decision-making, this stu...
Clinical Decision-Making Female Aged Machine Learning Prognosis Retrospective Studies China Extracorporeal Membrane Oxygenation Adult Male Middle Aged Humans Artificial Intelligence
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Eligibility for eCPR Warming in Hypothermic Cardiac Arrest: Lack of Guidelines and the Current Constraints of Artificial Intelligence in Clinical Decision-Making.

Artificial organs Mar 13, 2025
AIM OF THE STUDY: Artificial intelligence (AI) such as large language models (LLMs) tools are potential sources of information on hypothermic cardiac arrest (HCA). The aim of our study was to determine whether, for patients with HCA, LLMs provide inf...
Humans Artificial Intelligence Practice Guidelines as Topic Hypothermia, Induced Cardiopulmonary Resuscitation Heart Arrest Clinical Decision-Making Consensus Extracorporeal Membrane Oxygenation
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Development and external validation of a machine learning model for brain injury in pediatric patients on extracorporeal membrane oxygenation.

Critical care (London, England) Jan 9, 2025
BACKGROUND: Patients supported by extracorporeal membrane oxygenation (ECMO) are at a high risk of brain injury, contributing to significant morbidity and mortality. This study aimed to employ machine learning (ML) techniques to predict brain injury ...
Child, Preschool Child Brain Injuries Extracorporeal Membrane Oxygenation China Adolescent Cohort Studies Female Male Infant Machine Learning Humans Retrospective Studies
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COMPREHENSIVE CHARACTERIZATION OF CYTOKINES IN PATIENTS UNDER EXTRACORPOREAL MEMBRANE OXYGENATION: EVIDENCE FROM INTEGRATED BULK AND SINGLE-CELL RNA SEQUENCING DATA USING MULTIPLE MACHINE LEARNING APPROACHES.

Shock (Augusta, Ga.) Aug 23, 2024
Background : Extracorporeal membrane oxygenation (ECMO) is an effective technique for providing short-term mechanical support to the heart, lungs, or both. During ECMO treatment, the inflammatory response, particularly involving cytokines, plays a cr...
Humans Extracorporeal Membrane Oxygenation Cytokines Machine Learning Single-Cell Analysis Sequence Analysis, RNA
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Learning From Extracorporeal Membrane Oxygenation Experience in Cardiac Arrest: Strengths and Limitations of Prognostic Modeling Using Machine Learning.

Critical care medicine Jun 13, 2024
Humans Heart Arrest Machine Learning Prognosis Extracorporeal Membrane Oxygenation
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Machine Learning from Veno-Venous Extracorporeal Membrane Oxygenation Identifies Factors Associated with Neurological Outcomes.

Lung May 30, 2024
BACKGROUND: Neurological complications are common in patients receiving veno-venous extracorporeal membrane oxygenation (VV-ECMO) support. We used machine learning (ML) algorithms to identify predictors for neurological outcomes for these patients.
Retrospective Studies Female Adult Humans Machine Learning Treatment Outcome Male Nervous System Diseases Extracorporeal Membrane Oxygenation Middle Aged ROC Curve
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Machine Learning Differentiates Extracorporeal Membrane Oxygenation Mortality Risk Profiles Among Trauma Patients.

The American surgeon May 16, 2024
BACKGROUND: Extracorporeal membrane oxygenation (ECMO) is resource intensive with high mortality. Identifying trauma patients most likely to derive a survival benefit remains elusive despite current ECMO guidelines. Our objective was to identify uniq...
Male Middle Aged Risk Assessment Wounds and Injuries Risk Factors Humans Extracorporeal Membrane Oxygenation Young Adult Injury Severity Score Machine Learning Adult Retrospective Studies Female
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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...
Out-of-Hospital Cardiac Arrest Adult Male Middle Aged Female Humans Adolescent Aged Machine Learning Extracorporeal Membrane Oxygenation Young Adult Retrospective Studies Cardiopulmonary Resuscitation
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