AIMC Topic: Betacoronavirus
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Deep Learning COVID-19 Features on CXR Using Limited Training Data Sets.
IEEE transactions on medical imaging
May 8, 2020
Under the global pandemic of COVID-19, the use of artificial intelligence to analyze chest X-ray (CXR) image for COVID-19 diagnosis and patient triage is becoming important. Unfortunately, due to the emergent nature of the COVID-19 pandemic, a system...
Predicting COVID-19 in China Using Hybrid AI Model.
IEEE transactions on cybernetics
May 8, 2020
The coronavirus disease 2019 (COVID-19) breaking out in late December 2019 is gradually being controlled in China, but it is still spreading rapidly in many other countries and regions worldwide. It is urgent to conduct prediction research on the dev...
A review of modern technologies for tackling COVID-19 pandemic.
Diabetes & metabolic syndrome
May 7, 2020
OBJECTIVE: Science and technology sector constituting of data science, machine learning and artificial intelligence are contributing towards COVID-19. The aim of the present study is to discuss the various aspects of modern technology used to fight a...
COVID-19 detection using deep learning models to exploit Social Mimic Optimization and structured chest X-ray images using fuzzy color and stacking approaches.
Computers in biology and medicine
May 6, 2020
Coronavirus causes a wide variety of respiratory infections and it is an RNA-type virus that can infect both humans and animal species. It often causes pneumonia in humans. Artificial intelligence models have been helpful for successful analyses in t...
Diagnosis of Coronavirus Disease 2019 (COVID-19) With Structured Latent Multi-View Representation Learning.
IEEE transactions on medical imaging
May 5, 2020
Recently, the outbreak of Coronavirus Disease 2019 (COVID-19) has spread rapidly across the world. Due to the large number of infected patients and heavy labor for doctors, computer-aided diagnosis with machine learning algorithm is urgently needed, ...
Deep learning-based multi-view fusion model for screening 2019 novel coronavirus pneumonia: A multicentre study.
European journal of radiology
May 5, 2020
PURPOSE: To develop a deep learning-based method to assist radiologists to fast and accurately identify patients with COVID-19 by CT images.
Artificial intelligence to codify lung CT in Covid-19 patients.
La Radiologia medica
May 4, 2020
The spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has already assumed pandemic proportions, affecting over 100 countries in few weeks. A global response is needed to prepare health systems worldwide. Covid-19 can be diagnosed...
Emergence of New Disease: How Can Artificial Intelligence Help?
Trends in molecular medicine
May 3, 2020
Emergence of new disease remains a critical parameter in human health and society. Advances in artificial intelligence (AI) allow for rapid processing and analysis of massive and complex data. In this forum article, the recent applications across dis...
Application of deep learning technique to manage COVID-19 in routine clinical practice using CT images: Results of 10 convolutional neural networks.
Computers in biology and medicine
Apr 30, 2020
Fast diagnostic methods can control and prevent the spread of pandemic diseases like coronavirus disease 2019 (COVID-19) and assist physicians to better manage patients in high workload conditions. Although a laboratory test is the current routine di...
Aged
Radiographic Image Interpretation, Computer-Assisted
Aged, 80 and over
Coronavirus Infections
Adult
Middle Aged
COVID-19
Betacoronavirus
Deep Learning
Humans
Lung
Male
Tomography, X-Ray Computed
Neural Networks, Computer
Pneumonia, Viral
Computational Biology
Female
Artificial Intelligence
Pneumonia
SARS-CoV-2
Pandemics
Use of CT and artificial intelligence in suspected or COVID-19 positive patients: statement of the Italian Society of Medical and Interventional Radiology.
La Radiologia medica
Apr 29, 2020
The COVID-19 pandemic started in Italy in February 2020 with an exponential growth that has exceeded the number of cases reported in China. Italian radiology departments found themselves at the forefront in the management of suspected and positive CO...
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