AIMC Topic:
SARS-CoV-2
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Digital cardiovascular care in COVID-19 pandemic: A potential alternative?
Journal of cardiac surgery
Oct 10, 2020
BACKGROUND: Cardiovascular patients are at increased risk of acquiring coronavirus disease 2019 (COVID-19) infection while their visit to healthcare facilities. There is a need for alternative tools for optimal monitoring and management of cardiovasc...
A comprehensive study on classification of COVID-19 on computed tomography with pretrained convolutional neural networks.
Scientific reports
Oct 9, 2020
The use of imaging data has been reported to be useful for rapid diagnosis of COVID-19. Although computed tomography (CT) scans show a variety of signs caused by the viral infection, given a large amount of images, these visual features are difficult...
Development and evaluation of an artificial intelligence system for COVID-19 diagnosis.
Nature communications
Oct 9, 2020
Early detection of COVID-19 based on chest CT enables timely treatment of patients and helps control the spread of the disease. We proposed an artificial intelligence (AI) system for rapid COVID-19 detection and performed extensive statistical analys...
Evaluation of a genetic risk score for severity of COVID-19 using human chromosomal-scale length variation.
Human genomics
Oct 9, 2020
INTRODUCTION: The course of COVID-19 varies from asymptomatic to severe in patients. The basis for this range in symptoms is unknown. One possibility is that genetic variation is partly responsible for the highly variable response. We evaluated how w...
Dual-branch combination network (DCN): Towards accurate diagnosis and lesion segmentation of COVID-19 using CT images.
Medical image analysis
Oct 8, 2020
The recent global outbreak and spread of coronavirus disease (COVID-19) makes it an imperative to develop accurate and efficient diagnostic tools for the disease as medical resources are getting increasingly constrained. Artificial intelligence (AI)-...
Issues associated with deploying CNN transfer learning to detect COVID-19 from chest X-rays.
Physical and engineering sciences in medicine
Oct 6, 2020
Covid-19 first occurred in Wuhan, China in December 2019. Subsequently, the virus spread throughout the world and as of June 2020 the total number of confirmed cases are above 4.7 million with over 315,000 deaths. Machine learning algorithms built on...
The automation of bias in medical Artificial Intelligence (AI): Decoding the past to create a better future.
Artificial intelligence in medicine
Oct 6, 2020
Medicine is at a disciplinary crossroads. With the rapid integration of Artificial Intelligence (AI) into the healthcare field the future care of our patients will depend on the decisions we make now. Demographic healthcare inequalities continue to p...
Machine learning based early warning system enables accurate mortality risk prediction for COVID-19.
Nature communications
Oct 6, 2020
Soaring cases of coronavirus disease (COVID-19) are pummeling the global health system. Overwhelmed health facilities have endeavored to mitigate the pandemic, but mortality of COVID-19 continues to increase. Here, we present a mortality risk predict...
Clinical Predictive Models for COVID-19: Systematic Study.
Journal of medical Internet research
Oct 6, 2020
BACKGROUND: COVID-19 is a rapidly emerging respiratory disease caused by SARS-CoV-2. Due to the rapid human-to-human transmission of SARS-CoV-2, many health care systems are at risk of exceeding their health care capacities, in particular in terms of...
Hospitalization
Sensitivity and Specificity
COVID-19 Testing
Brazil
Humans
Public Health Informatics
Respiration, Artificial
Neural Networks, Computer
Clinical Laboratory Techniques
ROC Curve
Machine Learning
Betacoronavirus
Predictive Value of Tests
Pandemics
Algorithms
Pneumonia, Viral
Area Under Curve
COVID-19
Retrospective Studies
Coronavirus Infections
Intensive Care Units
SARS-CoV-2
How to Improve Compliance with Protective Health Measures during the COVID-19 Outbreak: Testing a Moderated Mediation Model and Machine Learning Algorithms.
International journal of environmental research and public health
Oct 4, 2020
In the wake of the sudden spread of COVID-19, a large amount of the Italian population practiced incongruous behaviors with the protective health measures. The present study aimed at examining psychological and psychosocial variables that could predi...
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