AIMC Topic: Pandemics
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[Digitization of the healthcare system: the BfArM's contribution to the development of potential].
Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz
Sep 15, 2021
Digitalization is a clear megatrend of our time, also in the health sector, which is currently experiencing enormous acceleration due to the COVID-19 pandemic in addition to paving the way due to changes in the legal framework. Looking to the future,...
Non-invasive health prediction from visually observable features.
F1000Research
Sep 13, 2021
The unprecedented development of Artificial Intelligence has revolutionised the healthcare industry. In the next generation of healthcare systems, self-diagnosis will be pivotal to personalised healthcare services. During the COVID-19 pandemic, new ...
A Novel Smart City-Based Framework on Perspectives for Application of Machine Learning in Combating COVID-19.
BioMed research international
Sep 11, 2021
The spread of COVID-19 worldwide continues despite multidimensional efforts to curtail its spread and provide treatment. Efforts to contain the COVID-19 pandemic have triggered partial or full lockdowns across the globe. This paper presents a novel f...
Event-Driven Deep Learning for Edge Intelligence (EDL-EI).
Sensors (Basel, Switzerland)
Sep 8, 2021
Edge intelligence (EI) has received a lot of interest because it can reduce latency, increase efficiency, and preserve privacy. More significantly, as the Internet of Things (IoT) has proliferated, billions of portable and embedded devices have been ...
Chatbot breakthrough in the 2020s? An ethical reflection on the trend of automated consultations in health care.
Medicine, health care, and philosophy
Sep 4, 2021
Many experts have emphasised that chatbots are not sufficiently mature to be able to technically diagnose patient conditions or replace the judgements of health professionals. The COVID-19 pandemic, however, has significantly increased the utilisatio...
Recognition of COVID-19 from CT Scans Using Two-Stage Deep-Learning-Based Approach: CNR-IEMN.
Sensors (Basel, Switzerland)
Aug 31, 2021
Since the appearance of the COVID-19 pandemic (at the end of 2019, Wuhan, China), the recognition of COVID-19 with medical imaging has become an active research topic for the machine learning and computer vision community. This paper is based on the ...
Cognitive IoT-Based e-Learning System: Enabling Context-Aware Remote Schooling during the Pandemic.
Journal of healthcare engineering
Aug 31, 2021
The 2019-2020 coronavirus pandemic had far-reaching consequences beyond the spread of the disease and efforts to cure it. Today, it is obvious that the pandemic devastated key sectors ranging from health to economy, culture, and education. As far as ...
The Increasing Centrality of Robotic Technology in the Context of Nursing Care: Bioethical Implications Analyzed through a Scoping Review Approach.
Journal of healthcare engineering
Aug 28, 2021
At the dawn of the fourth industrial revolution, the healthcare industry is experiencing a momentous shift in the direction of increasingly pervasive technologization of care. If, up until the 2000s, imagining healthcare provided by robots was a pure...
On the Use of Deep Learning for Imaging-Based COVID-19 Detection Using Chest X-rays.
Sensors (Basel, Switzerland)
Aug 24, 2021
The global COVID-19 pandemic that started in 2019 and created major disruptions around the world demonstrated the imperative need for quick, inexpensive, accessible and reliable diagnostic methods that would allow the detection of infected individual...
COVID-19 sentiment analysis via deep learning during the rise of novel cases.
PloS one
Aug 19, 2021
Social scientists and psychologists take interest in understanding how people express emotions and sentiments when dealing with catastrophic events such as natural disasters, political unrest, and terrorism. The COVID-19 pandemic is a catastrophic ev...
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