AIMC Topic: Respiratory Distress Syndrome
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eARDS: A multi-center validation of an interpretable machine learning algorithm of early onset Acute Respiratory Distress Syndrome (ARDS) among critically ill adults with COVID-19.
PloS one
Sep 24, 2021
We present an interpretable machine learning algorithm called 'eARDS' for predicting ARDS in an ICU population comprising COVID-19 patients, up to 12-hours before satisfying the Berlin clinical criteria. The analysis was conducted on data collected f...
Automated detection of acute respiratory distress syndrome from chest X-Rays using Directionality Measure and deep learning features.
Computers in biology and medicine
May 11, 2021
Acute respiratory distress syndrome (ARDS) is a life-threatening lung injury with global prevalence and high mortality. Chest x-rays (CXR) are critical in the early diagnosis and treatment of ARDS. However, imaging findings may not result in proper i...
Deep learning to detect acute respiratory distress syndrome on chest radiographs: a retrospective study with external validation.
The Lancet. Digital health
Apr 20, 2021
BACKGROUND: Acute respiratory distress syndrome (ARDS) is a common, but under-recognised, critical illness syndrome associated with high mortality. An important factor in its under-recognition is the variability in chest radiograph interpretation for...
Pleural Cavity
Pleural Diseases
Radiography
Radiographic Image Interpretation, Computer-Assisted
Datasets as Topic
Radiography, Thoracic
Male
Middle Aged
Lung
Hospitals
Deep Learning
United States
Respiratory Distress Syndrome
Area Under Curve
Algorithms
Retrospective Studies
Female
Aged
Humans
Neural Networks, Computer
Novel criteria to classify ARDS severity using a machine learning approach.
Critical care (London, England)
Apr 20, 2021
BACKGROUND: Usually, arterial oxygenation in patients with the acute respiratory distress syndrome (ARDS) improves substantially by increasing the level of positive end-expiratory pressure (PEEP). Herein, we are proposing a novel variable [PaO/(FiOxP...
Machine learning-based analysis of alveolar and vascular injury in SARS-CoV-2 acute respiratory failure.
The Journal of pathology
Mar 30, 2021
Severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) pneumopathy is characterized by a complex clinical picture and heterogeneous pathological lesions, both involving alveolar and vascular components. The severity and distribution of morpholo...
Development of a convolutional neural network to differentiate among the etiology of similar appearing pathological B lines on lung ultrasound: a deep learning study.
BMJ open
Mar 5, 2021
OBJECTIVES: Lung ultrasound (LUS) is a portable, low-cost respiratory imaging tool but is challenged by user dependence and lack of diagnostic specificity. It is unknown whether the advantages of LUS implementation could be paired with deep learning ...
Risk factors analysis of COVID-19 patients with ARDS and prediction based on machine learning.
Scientific reports
Feb 3, 2021
COVID-19 is a newly emerging infectious disease, which is generally susceptible to human beings and has caused huge losses to people's health. Acute respiratory distress syndrome (ARDS) is one of the common clinical manifestations of severe COVID-19 ...
Transfer learning with chest X-rays for ER patient classification.
Scientific reports
Dec 1, 2020
One of the challenges with urgent evaluation of patients with acute respiratory distress syndrome (ARDS) in the emergency room (ER) is distinguishing between cardiac vs infectious etiologies for their pulmonary findings. We conducted a retrospective ...
Analytics with artificial intelligence to advance the treatment of acute respiratory distress syndrome.
Journal of evidence-based medicine
Nov 13, 2020
Artificial intelligence (AI) has found its way into clinical studies in the era of big data. Acute respiratory distress syndrome (ARDS) or acute lung injury (ALI) is a clinical syndrome that encompasses a heterogeneous population. Management of such ...
Supervised machine learning for the early prediction of acute respiratory distress syndrome (ARDS).
Journal of critical care
Jul 24, 2020
PURPOSE: Acute respiratory distress syndrome (ARDS) is a serious respiratory condition with high mortality and associated morbidity. The objective of this study is to develop and evaluate a novel application of gradient boosted tree models trained on...
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