AIMC Topic:
SARS-CoV-2
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The Emerging Role of Artificial Intelligence in the Fight Against COVID-19.
European urology
Sep 17, 2020
The coronavirus disease 2019 (COVID-19) pandemic has generated large volumes of clinical data that can be an invaluable resource towards answering a number of important questions for this and future pandemics. Artificial intelligence can have an impo...
Can Disinfection Robots Reduce the Risk of Transmission of SARS-CoV-2 in Health Care and Educational Settings?
Journal of medical Internet research
Sep 15, 2020
We explore the opportunities and challenges surrounding the use of disinfection robots to reduce the risk of SARS-CoV-2 transmission in health care and educational settings. Although there is some potential for deploying robots to help with manual cl...
Helping the Blind to Get through COVID-19: Social Distancing Assistant Using Real-Time Semantic Segmentation on RGB-D Video.
Sensors (Basel, Switzerland)
Sep 12, 2020
The current COVID-19 pandemic is having a major impact on our daily lives. Social distancing is one of the measures that has been implemented with the aim of slowing the spread of the disease, but it is difficult for blind people to comply with this....
Color Vision
Betacoronavirus
Pneumonia, Viral
Smart Glasses
Blindness
Physical Distancing
Persons with Visual Disabilities
SARS-CoV-2
Sensory Aids
Adult
Male
Humans
Coronavirus Infections
Wearable Electronic Devices
Artificial Intelligence
Acoustics
Computer Systems
Pandemics
Semantics
Image Processing, Computer-Assisted
COVID-19
Germany
Robotics
Algorithms
Equipment Design
Female
A new advanced in silico drug discovery method for novel coronavirus (SARS-CoV-2) with tensor decomposition-based unsupervised feature extraction.
PloS one
Sep 11, 2020
BACKGROUND: COVID-19 is a critical pandemic that has affected human communities worldwide, and there is an urgent need to develop effective drugs. Although there are a large number of candidate drug compounds that may be useful for treating COVID-19,...
Intelligent Tutoring Systems: Re-Envisioning Surgical Education in Response to COVID-19.
The Canadian journal of neurological sciences. Le journal canadien des sciences neurologiques
Sep 10, 2020
Estimating the Binding of Sars-CoV-2 Peptides to HLA Class I in Human Subpopulations Using Artificial Neural Networks.
Cell systems
Sep 10, 2020
Epidemiological studies show that SARS-CoV-2 infection leads to severe symptoms only in a fraction of patients, but the determinants of individual susceptibility to the virus are still unknown. The major histocompatibility complex (MHC) class I expos...
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...
Pneumonia, Viral
SARS-CoV-2
Pandemics
COVID-19 Testing
Radiographic Image Interpretation, Computer-Assisted
Humans
COVID-19
Deep Learning
Clinical Laboratory Techniques
Databases, Factual
Machine Learning
Computer Systems
Coronavirus Infections
Betacoronavirus
Tomography, X-Ray Computed
Computational Biology
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 ...
Humans
Influenza A virus
Small Molecule Libraries
Neural Networks, Computer
Antiviral Agents
Artificial Intelligence
COVID-19
Cysteine Endopeptidases
Acetylcholinesterase
Coronavirus Infections
Betacoronavirus
Pandemics
SARS-CoV-2
Neuraminidase
Cholinesterase Inhibitors
Pneumonia, Viral
Molecular Docking Simulation
Coronavirus 3C Proteases
Enzyme Inhibitors
Drug Design
Viral Nonstructural Proteins
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.
Digital technology, tele-medicine and artificial intelligence in ophthalmology: A global perspective.
Progress in retinal and eye research
Sep 6, 2020
The simultaneous maturation of multiple digital and telecommunications technologies in 2020 has created an unprecedented opportunity for ophthalmology to adapt to new models of care using tele-health supported by digital innovations. These digital in...
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