AIMC Topic: Betacoronavirus

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Contrastive Cross-Site Learning With Redesigned Net for COVID-19 CT Classification.

IEEE journal of biomedical and health informatics Sep 10, 2020
The pandemic of coronavirus disease 2019 (COVID-19) has lead to a global public health crisis spreading hundreds of countries. With the continuous growth of new infections, developing automated tools for COVID-19 identification with CT image is highl...
Clinical Laboratory Techniques Betacoronavirus Pneumonia, Viral Computational Biology Radiographic Image Interpretation, Computer-Assisted Coronavirus Infections COVID-19 Testing Humans Machine Learning Pandemics COVID-19 Databases, Factual Tomography, X-Ray Computed SARS-CoV-2 Deep Learning Computer Systems
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Drug Design of Targeted Chemical Libraries Based on Artificial Intelligence and Pair-Based Multiobjective Optimization.

Journal of chemical information and modeling Sep 9, 2020
Artificial intelligence and multiobjective optimization represent promising solutions to bridge chemical and biological landscapes by addressing the automated design of compounds as a result of a humanlike creative process. In the present study, we ...
Molecular Docking Simulation Drug Design Influenza A virus Humans Small Molecule Libraries Antiviral Agents Neural Networks, Computer Neuraminidase Coronavirus Infections Cysteine Endopeptidases Acetylcholinesterase Betacoronavirus Cholinesterase Inhibitors Pneumonia, Viral Enzyme Inhibitors Artificial Intelligence Coronavirus 3C Proteases Viral Nonstructural Proteins Pandemics COVID-19 SARS-CoV-2
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Real-World Implications of a Rapidly Responsive COVID-19 Spread Model with Time-Dependent Parameters via Deep Learning: Model Development and Validation.

Journal of medical Internet research Sep 9, 2020
BACKGROUND: The COVID-19 pandemic has caused major disruptions worldwide since March 2020. The experience of the 1918 influenza pandemic demonstrated that decreases in the infection rates of COVID-19 do not guarantee continuity of the trend.
SARS-CoV-2 Deep Learning Time Factors Models, Theoretical Coronavirus Infections Mass Media Betacoronavirus Humans Pneumonia, Viral Neural Networks, Computer Pandemics COVID-19 Republic of Korea
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Pilot Study of Robot-Assisted Teleultrasound Based on 5G Network: A New Feasible Strategy for Early Imaging Assessment During COVID-19 Pandemic.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control Sep 3, 2020
Early diagnosis is critical for the prevention and control of the coronavirus disease 2019 (COVID-19). We attempted to apply a protocol using teleultrasound, which is supported by the 5G network, to explore the feasibility of solving the problem of e...
Pilot Projects Ultrasonography Robotics Equipment Design Coronavirus Infections Humans Pandemics COVID-19 SARS-CoV-2 Male Telemedicine Early Diagnosis Betacoronavirus Pneumonia, Viral
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Artificial Intelligence-Assisted Loop Mediated Isothermal Amplification (AI-LAMP) for Rapid Detection of SARS-CoV-2.

Viruses Sep 1, 2020
Until vaccines and effective therapeutics become available, the practical solution to transit safely out of the current coronavirus disease 19 (CoVID-19) lockdown may include the implementation of an effective testing, tracing and tracking system. Ho...
Chlorocebus aethiops Vero Cells Clinical Laboratory Techniques Betacoronavirus Pneumonia, Viral Dogs Madin Darby Canine Kidney Cells Coronavirus Infections COVID-19 Testing Pandemics COVID-19 SARS-CoV-2 Sensitivity and Specificity Animals Real-Time Polymerase Chain Reaction Molecular Diagnostic Techniques Humans Nucleic Acid Amplification Techniques Artificial Intelligence RNA, Viral
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Development and clinical implementation of tailored image analysis tools for COVID-19 in the midst of the pandemic: The synergetic effect of an open, clinically embedded software development platform and machine learning.

European journal of radiology Aug 28, 2020
PURPOSE: During the emerging COVID-19 pandemic, radiology departments faced a substantial increase in chest CT admissions coupled with the novel demand for quantification of pulmonary opacities. This article describes how our clinic implemented an au...
Humans Neural Networks, Computer Coronavirus Infections Machine Learning Betacoronavirus Software Pneumonia, Viral Pandemics COVID-19 Tomography, X-Ray Computed SARS-CoV-2
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Predicting Coronavirus Disease 2019 Infection Risk and Related Risk Drivers in Nursing Homes: A Machine Learning Approach.

Journal of the American Medical Directors Association Aug 27, 2020
OBJECTIVE: Inform coronavirus disease 2019 (COVID-19) infection prevention measures by identifying and assessing risk and possible vectors of infection in nursing homes (NHs) using a machine-learning approach.
Risk Assessment United States Coronavirus Infections Nursing Homes Betacoronavirus Algorithms Pneumonia, Viral Forecasting Retrospective Studies SARS-CoV-2 Humans Risk Factors Machine Learning Pandemics COVID-19
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Pandemic number five - Latest insights into the COVID-19 crisis.

Biomedical journal Aug 27, 2020
About nine months after the emergence of SARS-CoV-2, this special issue of the Biomedical Journal takes stock of its evolution into a pandemic. We acquire an elaborate overview of the history and virology of SARS-CoV-2, the epidemiology of COVID-19, ...
Betacoronavirus Pneumonia, Viral COVID-19 Humans SARS-CoV-2 Artificial Intelligence Taiwan Pandemics Coronavirus Infections
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Dynamics and Development of the COVID-19 Epidemic in the United States: A Compartmental Model Enhanced With Deep Learning Techniques.

Journal of medical Internet research Aug 21, 2020
BACKGROUND: Compartmental models dominate epidemic modeling. Transmission parameters between compartments are typically estimated through stochastic parameterization processes that depends on detailed statistics of transmission characteristics, which...
Humans Pandemics Coronavirus United States COVID-19 Coronavirus Infections Research Design Epidemics SARS-CoV-2 Betacoronavirus Deep Learning Pneumonia, Viral
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Efficient and Effective Training of COVID-19 Classification Networks With Self-Supervised Dual-Track Learning to Rank.

IEEE journal of biomedical and health informatics Aug 20, 2020
Coronavirus Disease 2019 (COVID-19) has rapidly spread worldwide since first reported. Timely diagnosis of COVID-19 is crucial both for disease control and patient care. Non-contrast thoracic computed tomography (CT) has been identified as an effecti...
Computational Biology Radiographic Image Interpretation, Computer-Assisted Supervised Machine Learning Coronavirus Infections COVID-19 Testing Clinical Laboratory Techniques Betacoronavirus Pneumonia, Viral Humans Tomography, X-Ray Computed Neural Networks, Computer SARS-CoV-2 Pandemics Diagnostic Errors COVID-19 Deep Learning Algorithms Cohort Studies Retrospective Studies
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