AIMC Topic: Pandemics
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Dual Mode HRI-HRI Control System with a Hybrid Admittance-Force Controller for Ultrasound Imaging.
Sensors (Basel, Switzerland)
May 26, 2022
The COVID-19 pandemic has brought unprecedented extreme pressure on the medical system due to the physical distance policy, especially for procedures such as ultrasound (US) imaging, which are usually carried out in person. Tele-operation systems are...
In the Seeking of Association between Air Pollutant and COVID-19 Confirmed Cases Using Deep Learning.
International journal of environmental research and public health
May 24, 2022
The COVID-19 pandemic raises awareness of how the fatal spreading of infectious disease impacts economic, political, and cultural sectors, which causes social implications. Across the world, strategies aimed at quickly recognizing risk factors have a...
Learning deep neural networks' architectures using differential evolution. Case study: Medical imaging processing.
Computers in biology and medicine
May 17, 2022
The COVID-19 pandemic has changed the way we practice medicine. Cancer patient and obstetric care landscapes have been distorted. Delaying cancer diagnosis or maternal-fetal monitoring increased the number of preventable deaths or pregnancy complicat...
Use of Robots in Critical Care: Systematic Review.
Journal of medical Internet research
May 16, 2022
BACKGROUND: The recent focus on the critical setting, especially with the COVID-19 pandemic, has highlighted the need for minimizing contact-based care and increasing robotic use. Robotics is a rising field in the context of health care, and we sough...
WVALE: Weak variational autoencoder for localisation and enhancement of COVID-19 lung infections.
Computer methods and programs in biomedicine
May 14, 2022
BACKGROUND AND OBJECTIVE: The COVID-19 pandemic is a major global health crisis of this century. The use of neural networks with CT imaging can potentially improve clinicians' efficiency in diagnosis. Previous studies in this field have primarily foc...
Analysis of English Cultural Teaching Model Based on Machine Learning.
Computational intelligence and neuroscience
May 14, 2022
According to the world population, nearly five billion people use mobile phones in their daily lives, and this has increased by 20% in the last twelve months compared to the previous report. An average survey conducted by researchers to find the amou...
COVID-19 Spatio-Temporal Evolution Using Deep Learning at a European Level.
Sensors (Basel, Switzerland)
May 11, 2022
COVID-19 evolution imposes significant challenges for the European healthcare system. The heterogeneous spread of the pandemic within EU regions elicited a wide range of policies, such as school closure, transport restrictions, etc. However, the impl...
Aspect Based Twitter Sentiment Analysis on Vaccination and Vaccine Types in COVID-19 Pandemic With Deep Learning.
IEEE journal of biomedical and health informatics
May 5, 2022
Due to the COVID-19 pandemic, vaccine development and community vaccination studies are carried out all over the world. At this stage, the opposition to the vaccine seen in the society or the lack of trust in the developed vaccine is an important fac...
Does imbalance in chest X-ray datasets produce biased deep learning approaches for COVID-19 screening?
BMC medical research methodology
Apr 28, 2022
BACKGROUND: The health crisis resulting from the global COVID-19 pandemic highlighted more than ever the need for rapid, reliable and safe methods of diagnosis and monitoring of respiratory diseases. To study pulmonary involvement in detail, one of t...
Deep Learning-Based Classification of Reduced Lung Ultrasound Data From COVID-19 Patients.
IEEE transactions on ultrasonics, ferroelectrics, and frequency control
Apr 27, 2022
The application of lung ultrasound (LUS) imaging for the diagnosis of lung diseases has recently captured significant interest within the research community. With the ongoing COVID-19 pandemic, many efforts have been made to evaluate LUS data. A four...
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