AIMC Topic:
SARS-CoV-2

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A Deep Learning based Solution (Covi-DeteCT) Amidst COVID-19.

Current medical imaging Jan 1, 2022
BACKGROUND: The whole world has been severely affected due to the COVID-19 pandemic. The rapid and large-scale spread has caused immense pressure on the medical sector hence increasing the chances of false detection due to human errors and mishandlin...
SARS-CoV-2 Deep Learning Humans Artificial Intelligence Pandemics COVID-19
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Detection of COVID-19 Infection in CT and X-ray images using transfer learning approach.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2022
BACKGROUND: The infection caused by the SARS-CoV-2 (COVID-19) pandemic is a threat to human lives. An early and accurate diagnosis is necessary for treatment.
X-Rays SARS-CoV-2 Deep Learning Humans COVID-19 Tomography, X-Ray Computed
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Accuracy of the Traditional COVID-19 Phone Triaging System and Phone Triage-Driven Deep Learning Model.

Journal of primary care & community health Jan 1, 2022
OBJECTIVES: During the COVID-19 pandemic, a quick and reliable phone-triage system is critical for early care and efficient distribution of hospital resources. The study aimed to assess the accuracy of the traditional phone-triage system and phone tr...
Humans Retrospective Studies SARS-CoV-2 Deep Learning Pandemics Triage COVID-19
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A Deep Learning Approach to Identify Chest Computed Tomography Features for Prediction of SARS-CoV-2 Infection Outcomes.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2022
There is still an urgent need to develop effective treatments to help minimize the cases of severe COVID-19. A number of tools have now been developed and applied to address these issues, such as the use of non-contrast chest computed tomography (CT)...
Tomography, X-Ray Computed SARS-CoV-2 Deep Learning Iran COVID-19 Lung Retrospective Studies Humans
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A Hybrid Protocol for Identifying Comorbidity-Based Potential Drugs for COVID-19 Using Biomedical Literature Mining, Network Analysis, and Deep Learning.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2022
Coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV2) has spread on an unprecedented scale around the globe. Despite of 141,975 published papers on COVID-19 and several hundreds of new studies carri...
Deep Learning Diabetes Mellitus, Type 2 SARS-CoV-2 Humans Data Mining COVID-19 RNA, Viral Comorbidity COVID-19 Drug Treatment
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An interpretable multi-task system for clinically applicable COVID-19 diagnosis using CXR.

Journal of X-ray science and technology Jan 1, 2022
BACKGROUND: With the emergence of continuously mutating variants of coronavirus, it is urgent to develop a deep learning model for automatic COVID-19 diagnosis at early stages from chest X-ray images. Since laboratory testing is time-consuming and re...
Deep Learning Pneumonia COVID-19 Testing COVID-19 SARS-CoV-2 Humans Neural Networks, Computer
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Pre- and Post-publication Verification for Reproducible Data Mining in Macromolecular Crystallography.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2022
Like an article narrative is deemed by an editor and referees to be worthy of being a version of record on acceptance as a publication, so must the underpinning data also be scrutinized before passing it as a version of record. Indeed without the und...
Data Mining Macromolecular Substances COVID-19 SARS-CoV-2 Crystallography Crystallography, X-Ray Synchrotrons Humans Artificial Intelligence
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Optimized chest X-ray image semantic segmentation networks for COVID-19 early detection.

Journal of X-ray science and technology Jan 1, 2022
BACKGROUND: Although detection of COVID-19 from chest X-ray radiography (CXR) images is faster than PCR sputum testing, the accuracy of detecting COVID-19 from CXR images is lacking in the existing deep learning models.
Humans COVID-19 X-Rays Radiography Semantics SARS-CoV-2 Deep Learning
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AI-driven deep convolutional neural networks for chest X-ray pathology identification.

Journal of X-ray science and technology Jan 1, 2022
BACKGROUND: Chest X-ray images are widely used to detect many different lung diseases. However, reading chest X-ray images to accurately detect and classify different lung diseases by doctors is often difficult with large inter-reader variability. Th...
X-Rays Humans SARS-CoV-2 COVID-19 Deep Learning Neural Networks, Computer Algorithms
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Digital Healthcare for Airway Diseases from Personal Environmental Exposure.

Yonsei medical journal Jan 1, 2022
Digital technologies have emerged in various dimensions of human life, ranging from education to professional services to well-being. In particular, health products and services have expanded by the use and development of artificial intelligence, mob...
Humans Artificial Intelligence Delivery of Health Care Pandemics SARS-CoV-2 COVID-19 Environmental Exposure
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