AIMC Topic: Coronavirus Infections
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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...
Cloud Computing
Respiratory Rate
Clinical Laboratory Techniques
Betacoronavirus
Pneumonia, Viral
Heart Rate
Early Diagnosis
Hong Kong
Skin Temperature
Blood Gas Monitoring, Transcutaneous
COVID-19
SARS-CoV-2
Wearable Electronic Devices
Smartphone
Mobile Applications
Randomized Controlled Trials as Topic
Quarantine
Coronavirus Infections
Telemedicine
COVID-19 Testing
Humans
Artificial Intelligence
Pandemics
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
SARS-CoV-2
Humans
Radiographic Image Interpretation, Computer-Assisted
Sensitivity and Specificity
Coronavirus Infections
Betacoronavirus
Neural Networks, Computer
Deep Learning
Datasets as Topic
Pneumonia, Viral
Pandemics
Diagnosis, Differential
Radiography, Thoracic
COVID-19
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...
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...
Early triage of critically ill COVID-19 patients using deep learning.
Nature communications
Jul 15, 2020
The sudden deterioration of patients with novel coronavirus disease 2019 (COVID-19) into critical illness is of major concern. It is imperative to identify these patients early. We show that a deep learning-based survival model can predict the risk o...
The combination of artificial intelligence and systems biology for intelligent vaccine design.
Expert opinion on drug discovery
Jul 14, 2020
INTRODUCTION: A new body of evidence depicts the applications of artificial intelligence and systems biology in vaccine design and development. The combination of both approaches shall revolutionize healthcare, accelerating clinical trial processes a...
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