AIMC Topic:
SARS-CoV-2

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Detecting Racial/Ethnic Health Disparities Using Deep Learning From Frontal Chest Radiography.

Journal of the American College of Radiology : JACR Jan 1, 2022
PURPOSE: The aim of this study was to assess racial/ethnic and socioeconomic disparities in the difference between atherosclerotic vascular disease prevalence measured by a multitask convolutional neural network (CNN) deep learning model using fronta...
Liver Neoplasms Retrospective Studies SARS-CoV-2 Carcinoma, Hepatocellular Deep Learning Ethnicity Radiography Humans Social Deprivation COVID-19
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Precision Medicine: Using Artificial Intelligence to Improve Diagnostics and Healthcare.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing Jan 1, 2022
The continued generation of large amounts of data within healthcare-from imaging to electronic medical health records to genomics and multi-omics -necessitates tools and methods to parse and interpret these data to improve healthcare outcomes. Artifi...
Pandemics Computational Biology COVID-19 Precision Medicine Humans Delivery of Health Care SARS-CoV-2 Artificial Intelligence
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UBNet: Deep learning-based approach for automatic X-ray image detection of pneumonia and COVID-19 patients.

Journal of X-ray science and technology Jan 1, 2022
BACKGROUND: Analysis of chest X-ray images is one of the primary standards in diagnosing patients with COVID-19 and pneumonia, which is faster than using PCR Swab method. However, accuracy of using X-ray images needs to be improved.
Pneumonia, Viral SARS-CoV-2 Deep Learning X-Rays COVID-19 Humans Neural Networks, Computer Algorithms
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Computer-aided COVID-19 diagnosis and a comparison of deep learners using augmented CXRs.

Journal of X-ray science and technology Jan 1, 2022
BACKGROUND: Coronavirus Disease 2019 (COVID-19) is contagious, producing respiratory tract infection, caused by a newly discovered coronavirus. Its death toll is too high, and early diagnosis is the main problem nowadays. Infected people show a varie...
Humans Computers SARS-CoV-2 COVID-19 Deep Learning COVID-19 Testing
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Fighting COVID-19 with Artificial Intelligence.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2022
The development of vaccines for the treatment of COVID-19 is paving the way for new hope. Despite this, the risk of the virus mutating into a vaccine-resistant variant still persists. As a result, the demand of efficacious drugs to treat COVID-19 is ...
Molecular Structure COVID-19 Drug Treatment Host-Pathogen Interactions Drug Repositioning Structure-Activity Relationship COVID-19 Humans SARS-CoV-2 Artificial Intelligence Machine Learning Drug Discovery Animals Antiviral Agents
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Classification by a stacking model using CNN features for COVID-19 infection diagnosis.

Journal of X-ray science and technology Jan 1, 2022
Affecting millions of people all over the world, the COVID-19 pandemic has caused the death of hundreds of thousands of people since its beginning. Examinations also found that even if the COVID-19 patients initially survived the coronavirus, pneumon...
Pneumonia, Viral Deep Learning COVID-19 Testing Humans Pandemics Algorithms SARS-CoV-2 COVID-19
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Prediction of diagnosis and prognosis of COVID-19 disease by blood gas parameters using decision trees machine learning model: a retrospective observational study.

Medical gas research Jan 1, 2022
The coronavirus disease 2019 (COVID-19) epidemic went down in history as a pandemic caused by corona-viruses that emerged in 2019 and spread rapidly around the world. The different symptoms of COVID-19 made it difficult to understand which variables ...
Humans Artificial Intelligence Prognosis SARS-CoV-2 Decision Trees Machine Learning COVID-19
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A Novel Multicolor-thresholding Auto-detection Method to Detect the Location and Severity of Inflammation in Confirmed SARS-COV-2 Cases using Chest X-Ray Images.

Current medical imaging Jan 1, 2022
OBJECTIVES: Since late 2019, Coronavirus Disease 2019 (COVID-19) has spread around the world. It has been determined that the disease is very contagious and can cause Acute Respiratory Distress (ARD). Medical imaging has the potential to help identif...
Humans COVID-19 Inflammation X-Rays SARS-CoV-2 Deep Learning
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Advanced Deep Learning Algorithms for Infectious Disease Modeling Using Clinical Data: A Case Study on COVID-19.

Current medical imaging Jan 1, 2022
BACKGROUND: Dealing with the COVID-19 pandemic has been one of the most important objectives of many countries.Intently observing the growth dynamics of the cases is one way to accomplish the solution for the pandemic.
Humans Deep Learning Pandemics Algorithms Communicable Diseases COVID-19 SARS-CoV-2
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The human-AI scoring system: A new method for CT-based assessment of COVID-19 severity.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2022
BACKGROUND: Chest computed tomography (CT) plays an important role in the diagnosis and assessment of coronavirus disease 2019 (COVID-19).
Thorax SARS-CoV-2 Severity of Illness Index Humans Artificial Intelligence COVID-19 Tomography, X-Ray Computed
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