AIMC Topic: COVID-19

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Novel Coronavirus and Common Pneumonia Detection from CT Scans Using Deep Learning-Based Extracted Features.

Viruses Jul 28, 2022
COVID-19 which was announced as a pandemic on 11 March 2020, is still infecting millions to date as the vaccines that have been developed do not prevent the disease but rather reduce the severity of the symptoms. Until a vaccine is developed that can...
Deep Learning Pneumonia Tomography, X-Ray Computed SARS-CoV-2 Humans COVID-19
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Automatic scoring of COVID-19 severity in X-ray imaging based on a novel deep learning workflow.

Scientific reports Jul 27, 2022
In this study, we propose a two-stage workflow used for the segmentation and scoring of lung diseases. The workflow inherits quantification, qualification, and visual assessment of lung diseases on X-ray images estimated by radiologists and clinician...
COVID-19 Algorithms Humans Image Processing, Computer-Assisted X-Rays Lung Deep Learning
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An Empirical Analysis of an Optimized Pretrained Deep Learning Model for COVID-19 Diagnosis.

Computational and mathematical methods in medicine Jul 27, 2022
As a result of the COVID-19 outbreak, which has put the world in an unprecedented predicament, thousands of people have died. Data from structured and unstructured sources are combined to create user-friendly platforms for clinicians and researchers ...
Pneumonia COVID-19 Testing Humans COVID-19 SARS-CoV-2 Deep Learning
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A process mining- deep learning approach to predict survival in a cohort of hospitalized COVID-19 patients.

BMC medical informatics and decision making Jul 25, 2022
BACKGROUND: Various machine learning and artificial intelligence methods have been used to predict outcomes of hospitalized COVID-19 patients. However, process mining has not yet been used for COVID-19 prediction. We developed a process mining/deep l...
Deep Learning ROC Curve Humans COVID-19 Artificial Intelligence Machine Learning Retrospective Studies
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Deep Learning-Based Networks for Detecting Anomalies in Chest X-Rays.

BioMed research international Jul 23, 2022
X-ray images aid medical professionals in the diagnosis and detection of pathologies. They are critical, for example, in the diagnosis of pneumonia, the detection of masses, and, more recently, the detection of COVID-19-related conditions. The chest ...
Humans Neural Networks, Computer Deep Learning COVID-19 X-Rays SARS-CoV-2
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Multi-population generalizability of a deep learning-based chest radiograph severity score for COVID-19.

Medicine Jul 22, 2022
To tune and test the generalizability of a deep learning-based model for assessment of COVID-19 lung disease severity on chest radiographs (CXRs) from different patient populations. A published convolutional Siamese neural network-based model previou...
COVID-19 Lung Humans Radiography, Thoracic Deep Learning Radiologists
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Automated diagnosis and prognosis of COVID-19 pneumonia from initial ER chest X-rays using deep learning.

BMC infectious diseases Jul 21, 2022
BACKGROUND: Airspace disease as seen on chest X-rays is an important point in triage for patients initially presenting to the emergency department with suspected COVID-19 infection. The purpose of this study is to evaluate a previously trained interp...
Humans Artificial Intelligence SARS-CoV-2 Adult Radiography, Thoracic X-Rays Retrospective Studies Deep Learning COVID-19 Tomography, X-Ray Computed Prognosis
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Simplified Transfer Learning for Chest Radiography Models Using Less Data.

Radiology Jul 19, 2022
Background Developing deep learning models for radiology requires large data sets and substantial computational resources. Data set size limitations can be further exacerbated by distribution shifts, such as rapid changes in patient populations and s...
Pandemics COVID-19 Humans Retrospective Studies Radiography Deep Learning Machine Learning Radiographic Image Interpretation, Computer-Assisted Radiography, Thoracic
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An efficient deep learning-based framework for tuberculosis detection using chest X-ray images.

Tuberculosis (Edinburgh, Scotland) Jul 19, 2022
Early diagnosis of tuberculosis (TB) is an essential and challenging task to prevent disease, decrease mortality risk, and stop transmission to other people. The chest X-ray (CXR) is the top choice for lung disease screening in clinics because it is ...
X-Rays COVID-19 Deep Learning Tuberculosis Mycobacterium tuberculosis Pneumonia Humans Neural Networks, Computer
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Argument mining as rapid screening tool of COVID-19 literature quality: Preliminary evidence.

Frontiers in public health Jul 18, 2022
BACKGROUND: The COVID-19 pandemic prompted the scientific community to share timely evidence, also in the form of pre-printed papers, not peer reviewed yet.
Reproducibility of Results COVID-19 Research Artificial Intelligence Humans Pandemics
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