AIMC Topic: Respiration, Artificial

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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...
Retrospective Studies Respiration, Artificial Ventilator Weaning Humans Neural Networks, Computer Artificial Intelligence
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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...
Prospective Studies Brazil Respiration, Artificial Ventilators, Mechanical Humans Artificial Intelligence Muscles Health Personnel Delivery of Health Care
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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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Transvesical Percutaneous Access Allows for Epidural Anesthesia Without Mechanical Ventilation in Single-Port Robotic Radical and Simple Prostatectomy.

Urology Feb 22, 2023
OBJECTIVES: To determine the feasibility of epidural anesthesia in patients undergoing transvesical single-port (SP) robotic simple and radical prostatectomy.
Robotics Robotic Surgical Procedures Anesthesia, Epidural Humans Male Respiration, Artificial Prostatectomy
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Early prediction of noninvasive ventilation failure after extubation: development and validation of a machine-learning model.

BMC pulmonary medicine Aug 8, 2022
BACKGROUND: Noninvasive ventilation (NIV) has been widely used in critically ill patients after extubation. However, NIV failure is associated with poor outcomes. This study aimed to determine early predictors of NIV failure and to construct an accur...
Respiratory Insufficiency Airway Extubation Noninvasive Ventilation Respiration, Artificial Oxygen Humans Machine Learning Intensive Care Units Reproducibility of Results
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Deep learning of chest X-rays can predict mechanical ventilation outcome in ICU-admitted COVID-19 patients.

Scientific reports Apr 13, 2022
The COVID-19 pandemic repeatedly overwhelms healthcare systems capacity and forced the development and implementation of triage guidelines in ICU for scarce resources (e.g. mechanical ventilation). These guidelines were often based on known risk fact...
X-Rays Intensive Care Units Respiration, Artificial Deep Learning Pandemics COVID-19 Humans
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Early heart rate variability evaluation enables to predict ICU patients' outcome.

Scientific reports Feb 15, 2022
Heart rate variability (HRV) is a mean to evaluate cardiac effects of autonomic nervous system activity, and a relation between HRV and outcome has been proposed in various types of patients. We attempted to evaluate the best determinants of such var...
Prognosis Intensive Care Units Female Electrocardiography Aged Oxygen Saturation Male Heart Rate Neural Networks, Computer Respiratory Function Tests Severity of Illness Index Humans Machine Learning Patient Admission Length of Stay Middle Aged Prospective Studies Respiration, Artificial Hospital Mortality
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Is artificial intelligence ready to solve mechanical ventilation? Computer says blow.

British journal of anaesthesia Dec 11, 2021
Artificial intelligence (AI) has the potential to identify treatable phenotypes, optimise ventilation strategies, and provide clinical decision support for patients who require mechanical ventilation. Gallifant and colleagues performed a systematic r...
Lung Artificial Intelligence Humans Computers Respiration, Artificial
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Preclinical Evaluation of a New ECCO2R Setup.

ASAIO journal (American Society for Artificial Internal Organs : 1992) Dec 1, 2021
Low flow extracorporeal carbon dioxide removal (ECCO2R) is a promising approach to correct hypercapnic lung failure, facilitate lung protective ventilation in acute respiratory distress syndrome and to possibly prevent the application of invasive ven...
Carbon Dioxide Respiration, Artificial Humans Extracorporeal Circulation Child Hypercapnia Adult Respiratory Distress Syndrome Respiratory Insufficiency
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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...
Respiration, Artificial Respiratory Distress Syndrome Tidal Volume Intensive Care Units Critical Care Adult Humans Ventilators, Mechanical
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