AIMC Topic: Ventilators, Mechanical
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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...
The Feasibility of a Machine Learning Approach in Predicting Successful Ventilator Mode Shifting for Adult Patients in the Medical Intensive Care Unit.
Medicina (Kaunas, Lithuania)
Mar 1, 2022
: Traditional assessment of the readiness for the weaning from the mechanical ventilator (MV) needs respiratory parameters in a spontaneous breath. Exempted from the MV disconnecting and manual measurements of weaning parameters, a prediction model b...
Influence of Critical Care Transport Ventilator Management on Intensive Care Unit Care.
Air medical journal
Nov 20, 2021
OBJECTIVE: High tidal volume ventilation is associated with ventilator-induced lung injury. Early introduction of lung protective ventilation improves patient outcomes. This study describes ventilator management during critical care transport and the...
Adaptive Fuzzy Sliding Mode Control of a Pressure-Controlled Artificial Ventilator.
Journal of healthcare engineering
Jun 23, 2021
This paper presents the application of adaptive fuzzy sliding mode control (AFSMC) for the respiratory system to assist the patients facing difficulty in breathing. The ventilator system consists of a blower-hose-patient system and patient's lung mod...
Identifying Patient-Ventilator Asynchrony on a Small Dataset Using Image-Based Transfer Learning.
Sensors (Basel, Switzerland)
Jun 17, 2021
Mechanical ventilation is an essential life-support treatment for patients who cannot breathe independently. Patient-ventilator asynchrony (PVA) occurs when ventilatory support does not match the needs of the patient and is associated with a series o...
Machine learning methods to predict mechanical ventilation and mortality in patients with COVID-19.
PloS one
Apr 1, 2021
BACKGROUND: The Coronavirus disease 2019 (COVID-19) pandemic has affected millions of people across the globe. It is associated with a high mortality rate and has created a global crisis by straining medical resources worldwide.
A Real-Time Artificial Intelligence-Assisted System to Predict Weaning from Ventilator Immediately after Lung Resection Surgery.
International journal of environmental research and public health
Mar 8, 2021
Assessment of risk before lung resection surgery can provide anesthesiologists with information about whether a patient can be weaned from the ventilator immediately after surgery. However, it is difficult for anesthesiologists to perform a complete ...
From predictions to prescriptions: A data-driven response to COVID-19.
Health care management science
Feb 15, 2021
The COVID-19 pandemic has created unprecedented challenges worldwide. Strained healthcare providers make difficult decisions on patient triage, treatment and care management on a daily basis. Policy makers have imposed social distancing measures to s...
An original design of remote robot-assisted intubation system.
Scientific reports
Sep 7, 2018
The success rate of pre-hospital endotracheal intubation (ETI) by paramedics is lower than physicians. We aimed to establish a remote robot-assisted intubation system (RRAIS) and expected it to improve success rate of pre-hospital ETI. To test the ro...
Regional physiology of ARDS.
Critical care (London, England)
Dec 28, 2017
The acute respiratory distress (ARDS) lung is usually characterized by a high degree of inhomogeneity. Indeed, the same lung may show a wide spectrum of aeration alterations, ranging from completely gasless regions, up to hyperinflated areas. This in...
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