AIMC Topic: Betacoronavirus
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Using machine learning of clinical data to diagnose COVID-19: a systematic review and meta-analysis.
BMC medical informatics and decision making
Sep 29, 2020
BACKGROUND: The recent Coronavirus Disease 2019 (COVID-19) pandemic has placed severe stress on healthcare systems worldwide, which is amplified by the critical shortage of COVID-19 tests.
A machine learning algorithm to increase COVID-19 inpatient diagnostic capacity.
PloS one
Sep 22, 2020
Worldwide, testing capacity for SARS-CoV-2 is limited and bottlenecks in the scale up of polymerase chain reaction (PCR-based testing exist. Our aim was to develop and evaluate a machine learning algorithm to diagnose COVID-19 in the inpatient settin...
COVID19XrayNet: A Two-Step Transfer Learning Model for the COVID-19 Detecting Problem Based on a Limited Number of Chest X-Ray Images.
Interdisciplinary sciences, computational life sciences
Sep 21, 2020
The novel coronavirus severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused a major pandemic outbreak recently. Various diagnostic technologies have been under active development. The novel coronavirus disease (COVID-19) may induce ...
Pneumonia, Viral
Coronavirus
Pneumonia
Radiography
Models, Biological
Coronavirus Infections
Reference Values
COVID-19 Testing
Datasets as Topic
X-Rays
Clinical Laboratory Techniques
Betacoronavirus
Databases, Factual
Tomography, X-Ray Computed
SARS-CoV-2
Lung
Deep Learning
Machine Learning
Pandemics
COVID-19
Algorithms
Humans
Neural Networks, Computer
Predictions of coronavirus COVID-19 distinct cases in Pakistan through an artificial neural network.
Epidemiology and infection
Sep 21, 2020
This study presents the main motivation to investigate the COVID-19 pandemic, a major threat to the whole world from the day when it first emerged in China city of Wuhan. Predictions on the number of cases of COVID-19 are crucial in order to prevent ...
Bioethical aspects of artificial intelligence: COVID-19 & end of life.
Revista da Associacao Medica Brasileira (1992)
Sep 21, 2020
Artificial Intelligence ECG to Detect Left Ventricular Dysfunction in COVID-19: A Case Series.
Mayo Clinic proceedings
Sep 19, 2020
Coronavirus disease 2019 (COVID-19) can result in deterioration of cardiac function, which is associated with high mortality. A simple point-of-care diagnostic test to screen for ventricular dysfunction would be clinically useful to guide management....
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....
COVID-19
Algorithms
Female
SARS-CoV-2
Adult
Humans
Artificial Intelligence
Pandemics
Blindness
Equipment Design
Physical Distancing
Coronavirus Infections
Male
Persons with Visual Disabilities
Acoustics
Wearable Electronic Devices
Sensory Aids
Computer Systems
Semantics
Color Vision
Image Processing, Computer-Assisted
Germany
Robotics
Betacoronavirus
Pneumonia, Viral
Smart Glasses
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,...
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...
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