AIMC Topic: Pandemics
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Automated detection of COVID-19 cases from chest X-ray images using deep neural network and XGBoost.
Radiography (London, England : 1995)
Mar 28, 2022
INTRODUCTION: In late 2019 and after the COVID-19 pandemic in the world, many researchers and scholars tried to provide methods for detecting COVID-19 cases. Accordingly, this study focused on identifying patients with COVID-19 from chest X-ray image...
Feasibility of telesurgery in the modern era.
The neuroradiology journal
Mar 27, 2022
Telesurgery is not a foreign concept and dates to as early as the 1920s. The use of robots in medicine has had a very positive effect and improved outcomes with little to no adverse effects. Having global access to telemedicine and telesurgery during...
[Usage of Artificial Intelligence in the Combat against the COVID-19 Pandemic].
Anasthesiologie, Intensivmedizin, Notfallmedizin, Schmerztherapie : AINS
Mar 23, 2022
The COVID-19 pandemic is a global health emergency of historic dimension. In this situation, researchers worldwide wanted to help manage the pandemic by using artificial intelligence (AI). This narrative review aims to describe the usage of AI in the...
Industry 4.0 technologies and their applications in fighting COVID-19 pandemic using deep learning techniques.
Computers in biology and medicine
Mar 21, 2022
The disease known as COVID-19 has turned into a pandemic and spread all over the world. The fourth industrial revolution known as Industry 4.0 includes digitization, the Internet of Things, and artificial intelligence. Industry 4.0 has the potential ...
Amenity counts significantly improve water consumption predictions.
PloS one
Mar 18, 2022
Anticipating the increase in water demand in an urban area requires us to properly understand daily human movement driven by population size, land use, and amenity types among others. Mobility data from phones can capture human movement, but not only...
Machine learning and phone data can improve targeting of humanitarian aid.
Nature
Mar 16, 2022
The COVID-19 pandemic has devastated many low- and middle-income countries, causing widespread food insecurity and a sharp decline in living standards. In response to this crisis, governments and humanitarian organizations worldwide have distributed ...
A radiomics-boosted deep-learning model for COVID-19 and non-COVID-19 pneumonia classification using chest x-ray images.
Medical physics
Mar 15, 2022
PURPOSE: To develop a deep learning model design that integrates radiomics analysis for enhanced performance of COVID-19 and non-COVID-19 pneumonia detection using chest x-ray images.
COVID-19 Identification System Using Transfer Learning Technique With Mobile-NetV2 and Chest X-Ray Images.
Frontiers in public health
Mar 3, 2022
Diagnosis is a crucial precautionary step in research studies of the coronavirus disease, which shows indications similar to those of various pneumonia types. The COVID-19 pandemic has caused a significant outbreak in more than 150 nations and has si...
Study of Different Deep Learning Methods for Coronavirus (COVID-19) Pandemic: Taxonomy, Survey and Insights.
Sensors (Basel, Switzerland)
Feb 28, 2022
COVID-19 has evolved into one of the most severe and acute illnesses. The number of deaths continues to climb despite the development of vaccines and new strains of the virus have appeared. The early and precise recognition of COVID-19 are key in via...
Forecasting COVID-19 new cases using deep learning methods.
Computers in biology and medicine
Feb 23, 2022
After nearly two years since the first identification of SARS-CoV-2 virus, the surge in cases because of virus mutations is a cause of grave public health concern across the globe. As a result of this health crisis, predicting the transmission patter...
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