AIMC Topic: Respiration, Artificial

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Artificial intelligence for mechanical ventilation: systematic review of design, reporting standards, and bias.

British journal of anaesthesia Nov 9, 2021
BACKGROUND: Artificial intelligence (AI) has the potential to personalise mechanical ventilation strategies for patients with respiratory failure. However, current methodological deficiencies could limit clinical impact. We identified common limitati...
Humans Models, Theoretical Randomized Controlled Trials as Topic Bias Respiratory Insufficiency Research Report Artificial Intelligence Algorithms Research Design Respiration, Artificial
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Predicting clinical outcomes in COVID-19 using radiomics on chest radiographs.

The British journal of radiology Sep 14, 2021
OBJECTIVES: For optimal utilization of healthcare resources, there is a critical need for early identification of COVID-19 patients at risk of poor prognosis as defined by the need for intensive unit care and mechanical ventilation. We tested the fea...
Humans Machine Learning COVID-19 Prognosis Critical Care Adult Early Diagnosis Male Health Services Needs and Demand Retrospective Studies Middle Aged Pneumonia, Viral Radiography, Thoracic Female Respiration, Artificial SARS-CoV-2 Predictive Value of Tests Aged
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Machine-learning-based COVID-19 mortality prediction model and identification of patients at low and high risk of dying.

Critical care (London, England) Sep 8, 2021
BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic caused by the SARS-Cov2 virus has become the greatest health and controversial issue for worldwide nations. It is associated with different clinical manifestations and a high mortality rate...
Respiration, Artificial Severity of Illness Index Cohort Studies Hospital Mortality Female Humans Risk Factors Machine Learning Male COVID-19 Risk Assessment Prognosis
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Deep learning to predict long-term mortality in patients requiring 7 days of mechanical ventilation.

PloS one Jun 29, 2021
BACKGROUND: Among patients with acute respiratory failure requiring prolonged mechanical ventilation, tracheostomies are typically placed after approximately 7 to 10 days. Yet half of patients admitted to the intensive care unit receiving tracheostom...
Time Factors Hospital Mortality Predictive Value of Tests Models, Biological Male Humans Middle Aged Intensive Care Units Respiration, Artificial Female Deep Learning Aged
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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...
Humans Home Care Services Neural Networks, Computer Machine Learning Respiration, Artificial Ventilators, Mechanical
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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 Neural Networks, Computer Critical Illness Intensive Care Units Respiration, Artificial Humans
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Projecting COVID-19 disease severity in cancer patients using purposefully-designed machine learning.

BMC infectious diseases May 4, 2021
BACKGROUND: Accurately predicting outcomes for cancer patients with COVID-19 has been clinically challenging. Numerous clinical variables have been retrospectively associated with disease severity, but the predictive value of these variables, and how...
ROC Curve Decision Support Systems, Clinical Area Under Curve New York City Neoplasms Respiration, Artificial Comorbidity Severity of Illness Index Algorithms Prognosis Retrospective Studies Female Risk Factors Aged Aged, 80 and over Male Middle Aged Humans Machine Learning COVID-19
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Development of a severity of disease score and classification model by machine learning for hospitalized COVID-19 patients.

PloS one Apr 21, 2021
BACKGROUND: Efficient and early triage of hospitalized Covid-19 patients to detect those with higher risk of severe disease is essential for appropriate case management.
Adult Male Middle Aged Risk Assessment Female Humans Respiration, Artificial Severity of Illness Index Triage SARS-CoV-2 Cohort Studies Machine Learning Area Under Curve Hospitalization ROC Curve COVID-19 Spain Aged Models, Statistical Forecasting Retrospective Studies
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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.
Emergency Service, Hospital Ventilators, Mechanical Aged Male Middle Aged Respiration, Artificial Hospital Mortality Pandemics COVID-19 Retrospective Studies Female Humans Machine Learning
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Individualized prediction of COVID-19 adverse outcomes with MLHO.

Scientific reports Mar 5, 2021
The COVID-19 pandemic has devastated the world with health and economic wreckage. Precise estimates of adverse outcomes from COVID-19 could have led to better allocation of healthcare resources and more efficient targeted preventive measures, includi...
Humans Machine Learning Pandemics COVID-19 Prognosis Retrospective Studies Intensive Care Units ROC Curve Risk Factors Male Electronic Health Records Age Factors Hospitalization Female Middle Aged Models, Statistical Aged Reproducibility of Results Risk Assessment Data Mining SARS-CoV-2 Aged, 80 and over Respiration, Artificial Adult
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