AIMC Topic: Respiration, Artificial

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Extracorporeal Closed-Loop Respiratory Regulation for Patients With Respiratory Difficulty Using a Soft Bionic Robot.

IEEE transactions on bio-medical engineering Sep 19, 2024
OBJECTIVE: Respiratory regulation is critical for patients with respiratory dysfunction. Clinically used ventilators can lead to long-term dependence and injury. Extracorporeal assistance approaches such as iron-lung devices provide a noninvasive alt...
Humans Female Aged Adult Robotics Equipment Design Exoskeleton Device Bionics Male Middle Aged Respiration, Artificial
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Machine learning-based risk prediction model construction of difficult weaning in ICU patients with mechanical ventilation.

Scientific reports Sep 6, 2024
In intensive care unit (ICU) patients undergoing mechanical ventilation (MV), the occurrence of difficult weaning contributes to increased ventilator-related complications, prolonged hospitalization duration, and a significant rise in healthcare cost...
Respiration, Artificial Intensive Care Units ROC Curve Humans Aged Middle Aged Female Machine Learning Ventilator Weaning Risk Factors Risk Assessment Male
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A machine learning-based prediction of hospital mortality in mechanically ventilated ICU patients.

PloS one Sep 4, 2024
BACKGROUND: Mechanical ventilation (MV) is vital for critically ill ICU patients but carries significant mortality risks. This study aims to develop a predictive model to estimate hospital mortality among MV patients, utilizing comprehensive health d...
Aged Critical Illness Male Intensive Care Units Support Vector Machine Middle Aged Respiration, Artificial Humans Female Hospital Mortality Machine Learning Databases, Factual
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Combining artificial intelligence and conventional statistics to predict bronchopulmonary dysplasia in very preterm infants using routinely collected clinical variables.

Pediatric pulmonology Aug 16, 2024
BACKGROUND: Prematurity is the strongest predictor of bronchopulmonary dysplasia (BPD). Most previous studies investigated additional risk factors by conventional statistics, while the few studies applying artificial intelligence, and specifically ma...
Humans Artificial Intelligence Infant, Newborn Risk Factors Male Infant, Extremely Premature Machine Learning Algorithms Female Gestational Age Bronchopulmonary Dysplasia Respiration, Artificial Infant, Premature
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Predicting Tracheostomy Need on Admission to the Intensive Care Unit-A Multicenter Machine Learning Analysis.

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery Jul 30, 2024
OBJECTIVE: It is difficult to predict which mechanically ventilated patients will ultimately require a tracheostomy which further predisposes them to unnecessary spontaneous breathing trials, additional time on the ventilator, increased costs, and fu...
Humans Intensive Care Units Respiration, Artificial Machine Learning Female Patient Admission Retrospective Studies Tracheostomy Aged Male Middle Aged
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Patient-ventilator asynchrony classification in mechanically ventilated patients: Model-based or machine learning method?

Computer methods and programs in biomedicine Jul 11, 2024
BACKGROUND AND OBJECTIVE: Patient-ventilator asynchrony (PVA) is associated with poor clinical outcomes and remains under-monitored. Automated PVA detection would enable complete monitoring standard observational methods do not allow. While model-bas...
Patient-Ventilator Asynchrony Middle Aged Respiration, Artificial Ventilators, Mechanical Neural Networks, Computer Machine Learning Algorithms Aged Male Humans Retrospective Studies Female
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Using machine-learning models to predict extubation failure in neonates with bronchopulmonary dysplasia.

BMC pulmonary medicine Jul 1, 2024
AIM: To develop a decision-support tool for predicting extubation failure (EF) in neonates with bronchopulmonary dysplasia (BPD) using a set of machine-learning algorithms.
Airway Extubation Treatment Failure ROC Curve Logistic Models Nomograms Decision Support Techniques Retrospective Studies Female Bronchopulmonary Dysplasia Respiration, Artificial Infant, Newborn Male Humans Machine Learning
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Letter to the Editor: "Development of a machine learning model for prediction of the duration of unassisted spontaneous breathing in patients during prolonged weaning from mechanical ventilation".

Journal of critical care Jun 25, 2024
Respiration Humans Ventilator Weaning Machine Learning Respiration, Artificial Time Factors
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Authors' response: "Development of a machine learning model for prediction of the duration of unassisted spontaneous breathing in patients during prolonged weaning from mechanical ventilation".

Journal of critical care Jun 21, 2024
Humans Respiration Ventilator Weaning Machine Learning Respiration, Artificial Time Factors
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Intelligent alert system for predicting invasive mechanical ventilation needs via noninvasive parameters: employing an integrated machine learning method with integration of multicenter databases.

Medical & biological engineering & computing Jun 11, 2024
The use of invasive mechanical ventilation (IMV) is crucial in rescuing patients with respiratory dysfunction. Accurately predicting the demand for IMV is vital for clinical decision-making. However, current techniques are invasive and challenging to...
Middle Aged Respiration, Artificial Aged Adult Male Algorithms Humans Databases, Factual Machine Learning Female
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