AIMC Topic: Ventilators, Mechanical

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Artificial Intelligence for the Detection of Patient-Ventilator Asynchrony.

Respiratory care Apr 3, 2025
Patient-ventilator asynchrony (PVA) is a challenge to invasive mechanical ventilation characterized by misalignment of ventilatory support and patient respiratory effort. PVA is highly prevalent and associated with adverse clinical outcomes, includin...
Humans Respiration, Artificial Ventilators, Mechanical Patient-Ventilator Asynchrony Artificial Intelligence Machine Learning
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Automated mechanical ventilator design and analysis using neural network.

Scientific reports Jan 25, 2025
Mechanical ventilation is the process through which breathing support is provided to patients who face inconvenience during respiration. During the pandemic, many people were suffering from lung disorders, which elevated the demand for mechanical ven...
Equipment Design Ventilators, Mechanical Respiration, Artificial Tidal Volume Humans Computer Simulation Pulmonary Disease, Chronic Obstructive Neural Networks, Computer
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An integrated approach to a predictive and ranking model of use error using fuzzy BWM and fuzzy TOPSIS.

International journal of occupational safety and ergonomics : JOSE Nov 23, 2024
Avoiding error in handling artifacts is crucial for achieving a high level of system reliability and safety assessment. This study develops a predictive and ranking model of use error (PRUE). In the first phase, use errors are systematically detected...
Artifacts Models, Theoretical Fuzzy Logic Ventilators, Mechanical Humans Reproducibility of Results
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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...
Retrospective Studies Female Aged Machine Learning Algorithms Respiration, Artificial Ventilators, Mechanical Patient-Ventilator Asynchrony Male Middle Aged Humans Neural Networks, Computer
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Flow starvation during square-flow assisted ventilation detected by supervised deep learning techniques.

Critical care (London, England) Mar 14, 2024
BACKGROUND: Flow starvation is a type of patient-ventilator asynchrony that occurs when gas delivery does not fully meet the patients' ventilatory demand due to an insufficient airflow and/or a high inspiratory effort, and it is usually identified by...
Lung Deep Learning Ventilators, Mechanical Humans Adult Artificial Intelligence Respiration, Artificial
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Detection and quantitative analysis of patient-ventilator interactions in ventilated infants by deep learning networks.

Pediatric research Feb 5, 2024
BACKGROUND: The study of patient-ventilator interactions (PVI) in mechanically ventilated neonates is limited by the lack of unified PVI definitions and tools to perform large scale analyses.
Infant, Newborn Male Humans Deep Learning Neural Networks, Computer Respiration, Artificial Ventilators, Mechanical Female
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Impact on the ability of healthcare professionals to correctly identify patient-ventilator asynchronies of the simultaneous visualization of estimated muscle pressure curves on the ventilator display: a randomized study (P study).

Critical care (London, England) Mar 30, 2023
BACKGROUND: Patient-ventilator asynchronies are usually detected by visual inspection of ventilator waveforms but with low sensitivity, even when performed by experts in the field. Recently, estimation of the inspiratory muscle pressure (P) waveforms...
Health Personnel Ventilators, Mechanical Muscles Delivery of Health Care Humans Brazil Prospective Studies Artificial Intelligence Respiration, Artificial
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An implantable soft robotic ventilator augments inspiration in a pig model of respiratory insufficiency.

Nature biomedical engineering Dec 12, 2022
Severe diaphragm dysfunction can lead to respiratory failure and to the need for permanent mechanical ventilation. Yet permanent tethering to a mechanical ventilator through the mouth or via tracheostomy can hinder a patient's speech, swallowing abil...
Respiratory Insufficiency Ventilators, Mechanical Swine Robotics Animals Prostheses and Implants Quality of Life
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Deep learning of longitudinal chest X-ray and clinical variables predicts duration on ventilator and mortality in COVID-19 patients.

Biomedical engineering online Oct 14, 2022
OBJECTIVES: To use deep learning of serial portable chest X-ray (pCXR) and clinical variables to predict mortality and duration on invasive mechanical ventilation (IMV) for Coronavirus disease 2019 (COVID-19) patients.
Ventilators, Mechanical X-Rays Respiration Disorders Retrospective Studies Deep Learning Humans COVID-19
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Development of a deep learning model that predicts Bi-level positive airway pressure failure.

Scientific reports May 26, 2022
Delaying intubation for patients failing Bi-Level Positive Airway Pressure (BIPAP) may be associated with harm. The objective of this study was to develop a deep learning model capable of aiding clinical decision making by predicting Bi-Level Positiv...
Intensive Care Units, Pediatric Deep Learning Logistic Models Humans Ventilators, Mechanical Child Retrospective Studies
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