AIMC Topic: Pandemics
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Covid-19: automatic detection from X-ray images utilizing transfer learning with convolutional neural networks.
Physical and engineering sciences in medicine
Apr 3, 2020
In this study, a dataset of X-ray images from patients with common bacterial pneumonia, confirmed Covid-19 disease, and normal incidents, was utilized for the automatic detection of the Coronavirus disease. The aim of the study is to evaluate the per...
How could artificial intelligence aid in the fight against coronavirus?
Expert review of anti-infective therapy
Mar 29, 2020
Artificial intelligence and machine learning to fight COVID-19.
Physiological genomics
Mar 27, 2020
Using Artificial Intelligence to Detect COVID-19 and Community-acquired Pneumonia Based on Pulmonary CT: Evaluation of the Diagnostic Accuracy.
Radiology
Mar 19, 2020
Background Coronavirus disease 2019 (COVID-19) has widely spread all over the world since the beginning of 2020. It is desirable to develop automatic and accurate detection of COVID-19 using chest CT. Purpose To develop a fully automatic framework to...
COVID-19
Retrospective Studies
Tomography, X-Ray Computed
Female
Adult
Sensitivity and Specificity
Male
Community-Acquired Infections
SARS-CoV-2
Diagnosis, Differential
Humans
Clinical Laboratory Techniques
Middle Aged
Aged
Radiographic Image Interpretation, Computer-Assisted
Artificial Intelligence
Betacoronavirus
Deep Learning
Coronavirus Infections
Pneumonia, Viral
Pandemics
ROC Curve
COVID-19 Testing
Imaging, Three-Dimensional
Identification of COVID-19 can be quicker through artificial intelligence framework using a mobile phone-based survey when cities and towns are under quarantine.
Infection control and hospital epidemiology
Mar 3, 2020
We propose the use of a machine learning algorithm to improve possible COVID-19 case identification more quickly using a mobile phone-based web survey. This method could reduce the spread of the virus in susceptible populations under quarantine.
The Role of Augmented Intelligence (AI) in Detecting and Preventing the Spread of Novel Coronavirus.
Journal of medical systems
Feb 4, 2020
Automatically quantifying the scientific quality and sensationalism of news records mentioning pandemics: validating a maximum entropy machine-learning model.
Journal of clinical epidemiology
Mar 7, 2016
OBJECTIVE: To develop and validate a method for automatically quantifying the scientific quality and sensationalism of individual news records.
Towards a Food Safety Knowledge Base Applicable in Crisis Situations and Beyond.
BioMed research international
Jul 13, 2015
In case of contamination in the food chain, fast action is required in order to reduce the numbers of affected people. In such situations, being able to predict the fate of agents in foods would help risk assessors and decision makers in assessing th...
SARS-CoV-2: lessons in virus mutation prediction and pandemic preparedness.
Current opinion in immunology
Aug 1, 2025
The COVID-19 pandemic has prompted an unprecedented global response. In particular, extraordinary efforts have been dedicated toward monitoring and predicting variant emergence due to its huge impact, particularly for vaccine escape. Broadly, we clas...
Ceasing sampling at wastewater treatment plants where viral dynamics are most predictable.
Epidemics
Jun 1, 2025
Wastewater sampling has been shown to be an effective tool for monitoring the dynamics of an infectious disease. During the COVID-19 pandemic, many sampling sites were opened in order to capture as much information as possible. However, with the pand...
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