AIMC Topic: Pandemics
Clear Filters Showing 531 to 540 of 784 articles
Machine learning-based mortality rate prediction using optimized hyper-parameter.
Computer methods and programs in biomedicine
Aug 18, 2020
OBJECTIVE AND BACKGROUND: The current scenario of the Pandemic of COVID-19 demands multi-channel investigations and predictions. A variety of prediction models are available in the literature. The majority of these models are based on extrapolating b...
Utilization of machine-learning models to accurately predict the risk for critical COVID-19.
Internal and emergency medicine
Aug 18, 2020
Among patients with Coronavirus disease (COVID-19), the ability to identify patients at risk for deterioration during their hospital stay is essential for effective patient allocation and management. To predict patient risk for critical COVID-19 base...
Social Network Analysis of COVID-19 Sentiments: Application of Artificial Intelligence.
Journal of medical Internet research
Aug 18, 2020
BACKGROUND: The coronavirus disease (COVID-19) pandemic led to substantial public discussion. Understanding these discussions can help institutions, governments, and individuals navigate the pandemic.
Artificial Intelligence for Rapid Meta-Analysis: Case Study on Ocular Toxicity of Hydroxychloroquine.
Journal of medical Internet research
Aug 17, 2020
BACKGROUND: Rapid access to evidence is crucial in times of an evolving clinical crisis. To that end, we propose a novel approach to answer clinical queries, termed rapid meta-analysis (RMA). Unlike traditional meta-analysis, RMA balances a quick tim...
Real-Time Forecasting of the COVID-19 Outbreak in Chinese Provinces: Machine Learning Approach Using Novel Digital Data and Estimates From Mechanistic Models.
Journal of medical Internet research
Aug 17, 2020
BACKGROUND: The inherent difficulty of identifying and monitoring emerging outbreaks caused by novel pathogens can lead to their rapid spread; and if left unchecked, they may become major public health threats to the planet. The ongoing coronavirus d...
Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets.
Nature communications
Aug 14, 2020
Chest CT is emerging as a valuable diagnostic tool for clinical management of COVID-19 associated lung disease. Artificial intelligence (AI) has the potential to aid in rapid evaluation of CT scans for differentiation of COVID-19 findings from other ...
COVID-19 Testing
Clinical Laboratory Techniques
Betacoronavirus
Pneumonia, Viral
Child
Imaging, Three-Dimensional
Radiographic Image Interpretation, Computer-Assisted
Coronavirus Infections
Aged
Aged, 80 and over
COVID-19
Middle Aged
Young Adult
Humans
Algorithms
Artificial Intelligence
Lung
Adult
Tomography, X-Ray Computed
Pandemics
Male
Deep Learning
Female
Adolescent
SARS-CoV-2
Child, Preschool
Natural Language Processing for Rapid Response to Emergent Diseases: Case Study of Calcium Channel Blockers and Hypertension in the COVID-19 Pandemic.
Journal of medical Internet research
Aug 14, 2020
BACKGROUND: A novel disease poses special challenges for informatics solutions. Biomedical informatics relies for the most part on structured data, which require a preexisting data or knowledge model; however, novel diseases do not have preexisting k...
The use of knowledge management tools in viroinformatics. Example study of a highly conserved sequence motif in Nsp3 of SARS-CoV-2 as a therapeutic target.
Computers in biology and medicine
Aug 13, 2020
Knowledge management tools that assist in systematic review and exploration of scientific knowledge generally are of obvious potential importance in evidence based medicine in general, but also to the design of therapeutics based on the protein subse...
Using imaging to combat a pandemic: rationale for developing the UK National COVID-19 Chest Imaging Database.
The European respiratory journal
Aug 13, 2020
https://bit.ly/3eQeuha
Comparing different deep learning architectures for classification of chest radiographs.
Scientific reports
Aug 12, 2020
Chest radiographs are among the most frequently acquired images in radiology and are often the subject of computer vision research. However, most of the models used to classify chest radiographs are derived from openly available deep neural networks,...
Stay Ahead of Medical AI
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 32065
- Neural Networks, Computer 30249
- Algorithms 27433
- Deep Learning 26935
- Artificial Intelligence 24866
- Robotics 13394
- Image Processing, Computer-Assisted 9746
- Retrospective Studies 9358
- Magnetic Resonance Imaging 6353
- Reproducibility of Results 5671
- Tomography, X-Ray Computed 4869
- Support Vector Machine 4774
- Computational Biology 4337
- Brain 4132
- Computer Simulation 3936
Recent Journals
- Scientific reports 6855
- Sensors (Basel, Switzerland) 4794
- PloS one 4219
- Neural networks : the official journal of the International Neural Network Society 3026
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1920
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1378
- IEEE journal of biomedical and health informatics 1178
- Journal of chemical information and modeling 1070
- Nature communications 1054
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 877
- Journal of medical Internet research 867
- IEEE transactions on neural networks and learning systems 854