AIMC Topic: Pandemics
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Repurpose Open Data to Discover Therapeutics for COVID-19 Using Deep Learning.
Journal of proteome research
Jul 24, 2020
There have been more than 2.2 million confirmed cases and over 120 000 deaths from the human coronavirus disease 2019 (COVID-19) pandemic, caused by the novel severe acute respiratory syndrome coronavirus (SARS-CoV-2), in the United States alone. How...
Review of Big Data Analytics, Artificial Intelligence and Nature-Inspired Computing Models towards Accurate Detection of COVID-19 Pandemic Cases and Contact Tracing.
International journal of environmental research and public health
Jul 24, 2020
The emergence of the 2019 novel coronavirus (COVID-19) which was declared a pandemic has spread to 210 countries worldwide. It has had a significant impact on health systems and economic, educational and social facets of contemporary society. As the ...
Drawing insights from COVID-19-infected patients using CT scan images and machine learning techniques: a study on 200 patients.
Environmental science and pollution research international
Jul 22, 2020
As the whole world is witnessing what novel coronavirus (COVID-19) can do to the mankind, it presents several unique features also. In the absence of specific vaccine for COVID-19, it is essential to detect the disease at an early stage and isolate a...
Artificial intelligence mobile health platform for early detection of COVID-19 in quarantine subjects using a wearable biosensor: protocol for a randomised controlled trial.
BMJ open
Jul 22, 2020
INTRODUCTION: There is an outbreak of COVID-19 worldwide. As there is no effective therapy or vaccine yet, rigorous implementation of traditional public health measures such as isolation and quarantine remains the most effective tool to control the o...
Pneumonia, Viral
Blood Gas Monitoring, Transcutaneous
Skin Temperature
Cloud Computing
Respiratory Rate
Clinical Laboratory Techniques
Betacoronavirus
Smartphone
Mobile Applications
Randomized Controlled Trials as Topic
Quarantine
Coronavirus Infections
Telemedicine
COVID-19 Testing
Heart Rate
Early Diagnosis
Hong Kong
Artificial Intelligence
Pandemics
COVID-19
SARS-CoV-2
Wearable Electronic Devices
Humans
Deep-COVID: Predicting COVID-19 from chest X-ray images using deep transfer learning.
Medical image analysis
Jul 21, 2020
The COVID-19 pandemic is causing a major outbreak in more than 150 countries around the world, having a severe impact on the health and life of many people globally. One of the crucial step in fighting COVID-19 is the ability to detect the infected p...
Data Interpretation, Statistical
Radiographic Image Interpretation, Computer-Assisted
Coronavirus Infections
Datasets as Topic
Humans
SARS-CoV-2
Betacoronavirus
Radiography, Thoracic
Neural Networks, Computer
Sensitivity and Specificity
Pneumonia, Viral
Pandemics
Deep Learning
COVID-19
Diagnosis, Differential
Predictive Value of Tests
From community-acquired pneumonia to COVID-19: a deep learning-based method for quantitative analysis of COVID-19 on thick-section CT scans.
European radiology
Jul 18, 2020
OBJECTIVE: To develop a fully automated AI system to quantitatively assess the disease severity and disease progression of COVID-19 using thick-section chest CT images.
Implementation of a Deep Learning-Based Computer-Aided Detection System for the Interpretation of Chest Radiographs in Patients Suspected for COVID-19.
Korean journal of radiology
Jul 17, 2020
OBJECTIVE: To describe the experience of implementing a deep learning-based computer-aided detection (CAD) system for the interpretation of chest X-ray radiographs (CXR) of suspected coronavirus disease (COVID-19) patients and investigate the diagnos...
Deploying Machine and Deep Learning Models for Efficient Data-Augmented Detection of COVID-19 Infections.
Viruses
Jul 16, 2020
This generation faces existential threats because of the global assault of the novel Corona virus 2019 (i.e., COVID-19). With more than thirteen million infected and nearly 600000 fatalities in 188 countries/regions, COVID-19 is the worst calamity si...
Identifying scenarios of benefit or harm from kidney transplantation during the COVID-19 pandemic: A stochastic simulation and machine learning study.
American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons
Jul 15, 2020
Clinical decision-making in kidney transplant (KT) during the coronavirus disease 2019 (COVID-19) pandemic is understandably a conundrum: both candidates and recipients may face increased acquisition risks and case fatality rates (CFRs). Given our po...
α-Satellite: An AI-Driven System and Benchmark Datasets for Dynamic COVID-19 Risk Assessment in the United States.
IEEE journal of biomedical and health informatics
Jul 15, 2020
The fast evolving and deadly outbreak of coronavirus disease (COVID-19) has posed grand challenges to human society. To slow the spread of virus infections and better respond for community mitigation, by advancing capabilities of artificial intellige...
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