AIMC Topic: Coronavirus Infections
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Analysis of COVID-19 clinical trials: A data-driven, ontology-based, and natural language processing approach.
PloS one
Sep 30, 2020
With the novel COVID-19 pandemic disrupting and threatening the lives of millions, researchers and clinicians have been recently conducting clinical trials at an unprecedented rate to learn more about the virus and potential drugs/treatments/vaccines...
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.
Unveiling COVID-19 from CHEST X-Ray with Deep Learning: A Hurdles Race with Small Data.
International journal of environmental research and public health
Sep 22, 2020
The possibility to use widespread and simple chest X-ray (CXR) imaging for early screening of COVID-19 patients is attracting much interest from both the clinical and the AI community. In this study we provide insights and also raise warnings on what...
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 ...
Algorithms
Databases, Factual
Tomography, X-Ray Computed
SARS-CoV-2
Lung
Neural Networks, Computer
Machine Learning
Pandemics
COVID-19
Reference Values
COVID-19 Testing
Datasets as Topic
X-Rays
Clinical Laboratory Techniques
Deep Learning
Pneumonia
Radiography
Models, Biological
Coronavirus Infections
Humans
Betacoronavirus
Pneumonia, Viral
Coronavirus
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...
Using Machine Learning to Generate Novel Hypotheses: Increasing Optimism About COVID-19 Makes People Less Willing to Justify Unethical Behaviors.
Psychological science
Sep 14, 2020
How can we nudge people to not engage in unethical behaviors, such as hoarding and violating social-distancing guidelines, during the COVID-19 pandemic? Because past research on antecedents of unethical behavior has not provided a clear answer, we tu...
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