AIMC Topic: Ventilator Weaning

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FT-GAT: Graph neural network for predicting spontaneous breathing trial success in patients with mechanical ventilation.

Computer methods and programs in biomedicine Jun 14, 2023
BACKGROUND AND OBJECTIVES: Intensive care unit (ICU) physicians perform weaning procedures considering complex clinical situations and weaning protocols; however, liberating critical patients from mechanical ventilation (MV) remains challenging. Ther...
Respiration, Artificial Ventilator Weaning Artificial Intelligence Retrospective Studies Humans Neural Networks, Computer
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Analysis of the Cardiorespiratory Pattern of Patients Undergoing Weaning Using Artificial Intelligence.

International journal of environmental research and public health Mar 1, 2023
The optimal extubating moment is still a challenge in clinical practice. Respiratory pattern variability analysis in patients assisted through mechanical ventilation to identify this optimal moment could contribute to this process. This work proposes...
Respiration, Artificial Wavelet Analysis Ventilator Weaning Neural Networks, Computer Artificial Intelligence Humans
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Prediction of weaning from mechanical ventilation using Convolutional Neural Networks.

Artificial intelligence in medicine May 5, 2021
Weaning from mechanical ventilation covers the process of liberating the patient from mechanical support and removing the associated endotracheal tube. The management of weaning from mechanical ventilation comprises a significant proportion of the ca...
Ventilator Weaning Humans Intensive Care Units Neural Networks, Computer Critical Illness Respiration, Artificial
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Improvement in the Prediction of Ventilator Weaning Outcomes by an Artificial Neural Network in a Medical ICU.

Respiratory care Sep 1, 2015
BACKGROUND: Twenty-five to 40% of patients pass a spontaneous breathing trial (SBT) but fail to wean from mechanical ventilation. There is no single appropriate and convenient predictor or method that can help clinicians to accurately predict weaning...
ROC Curve Predictive Value of Tests Models, Biological Respiration, Artificial Lung Female Respiratory Function Tests Random Allocation Airway Extubation Forecasting Male Aged Ventilator Weaning Humans Respiration Aged, 80 and over Intensive Care Units Middle Aged Neural Networks, Computer
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Enhancing healthcare AI stability with edge computing and machine learning for extubation prediction.

Scientific reports May 22, 2025
The advancement of the Internet of Medical Things (IoMT) has revolutionized data acquisition and processing in critical care settings. Given the pivotal role of ventilators, accurately predicting extubation outcomes is essential to optimize patient c...
Ventilator Weaning Internet of Things Airway Extubation Humans Machine Learning Algorithms Artificial Intelligence
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Prediction of Spontaneous Breathing Trial Outcome in Critically Ill-Ventilated Patients Using Deep Learning: Development and Verification Study.

JMIR medical informatics May 21, 2025
BACKGROUND: Long-term ventilator-dependent patients often face problems such as decreased quality of life, increased mortality, and increased medical costs. Respiratory therapists must perform complex and time-consuming ventilator weaning assessments...
Humans Female Aged Male Retrospective Studies Critical Illness Ventilator Weaning Deep Learning Respiration Middle Aged Respiration, Artificial
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Federated Learning for Predictive Analytics in Weaning from Mechanical Ventilation.

Studies in health technology and informatics May 15, 2025
Mechanical ventilation is crucial for critically ill patients in ICUs, requiring accurate weaning and extubations timing for optimal outcomes. Current prediction models struggle with generalizability across datasets like MIMIC-IV and eICU-CRD. We pro...
Humans Machine Learning Germany Ventilator Weaning Federated Learning Intensive Care Units Respiration, Artificial
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Predicting weaning difficulty for planned extubation patients with an artificial neural network.

Medicine Oct 1, 2019
This study aims to construct a neural network to predict weaning difficulty among planned extubation patients in intensive care units.This observational cohort study was conducted in eight adult ICUs in a medical center about adult patients experienc...
Intensive Care Units Female Aged, 80 and over Male Aged Algorithms Retrospective Studies Humans Neural Networks, Computer APACHE Middle Aged ROC Curve Airway Extubation Ventilator Weaning
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