AIMC Topic: COVID-19

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Point-of-care SARS-CoV-2 sensing using lens-free imaging and a deep learning-assisted quantitative agglutination assay.

Lab on a chip Sep 27, 2022
The persistence of the global COVID-19 pandemic caused by the SARS-CoV-2 virus has continued to emphasize the need for point-of-care (POC) diagnostic tests for viral diagnosis. The most widely used tests, lateral flow assays used in rapid antigen tes...
Sensitivity and Specificity Point-of-Care Systems COVID-19 SARS-CoV-2 Angiotensin-Converting Enzyme 2 DNA-Directed RNA Polymerases Agglutination Deep Learning Humans COVID-19 Testing Pandemics
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Deep learning techniques for detecting and recognizing face masks: A survey.

Frontiers in public health Sep 26, 2022
The year 2020 brought many changes to the lives of people all over the world with the outbreak of COVID-19; we saw lockdowns for months and deaths of many individuals, which set the world economy back miles. As research was conducted to create vaccin...
Deep Learning Masks Humans COVID-19 Communicable Disease Control Artificial Intelligence SARS-CoV-2
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A Meta-Analysis on Remote HRI and In-Person HRI: What Is a Socially Assistive Robot to Do?

Sensors (Basel, Switzerland) Sep 21, 2022
Recently, due to the COVID-19 pandemic and the related social distancing measures, in-person activities have been significantly reduced to limit the spread of the virus, especially in healthcare settings. This has led to loneliness and social isolati...
Activities of Daily Living Pandemics COVID-19 Robotics Social Isolation Humans
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Development and validation of chest CT-based imaging biomarkers for early stage COVID-19 screening.

Frontiers in public health Sep 21, 2022
Coronavirus Disease 2019 (COVID-19) is currently a global pandemic, and early screening is one of the key factors for COVID-19 control and treatment. Here, we developed and validated chest CT-based imaging biomarkers for COVID-19 patient screening fr...
Tomography, X-Ray Computed SARS-CoV-2 COVID-19 Biomarkers Humans Deep Learning
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In a pilot study, automated real-time systematic review updates were feasible, accurate, and work-saving.

Journal of clinical epidemiology Sep 20, 2022
OBJECTIVES: The aim of this study is to describe and pilot a novel method for continuously identifying newly published trials relevant to a systematic review, enabled by combining artificial intelligence (AI) with human expertise.
Artificial Intelligence COVID-19 Humans PubMed Pilot Projects COVID-19 Vaccines
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Verbal Autopsy as a Tool for Defining Causes of Death in Specific Healthcare Contexts: Study of Applicability through a Traditional Literature Review.

International journal of environmental research and public health Sep 17, 2022
Autopsy examination, the gold standard for defining causes of death, is often difficult to apply in certain health care settings, especially in developing countries. The COVID-19 pandemic and its associated difficulties in terms of implementing autop...
Humans Artificial Intelligence Cause of Death Delivery of Health Care Autopsy Reproducibility of Results Pandemics COVID-19
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Application and Communication Optimization Technology of Unmanned Distribution Car under Deep Learning in Logistics Express of COVID-19.

Computational intelligence and neuroscience Sep 17, 2022
This work aims to solve the problem that the daily necessities of urban residents cannot be delivered during coronavirus disease 2019 (COVID-19), thereby reducing the possibility of the delivery personnel contracting COVID-19 due to the need to trans...
Deep Learning COVID-19 Computer Communication Networks Automobiles Technology Humans
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Research progress and hotspot of the artificial intelligence application in the ultrasound during 2011-2021: A bibliometric analysis.

Frontiers in public health Sep 15, 2022
Ultrasound, as a common clinical examination tool, inevitably has human errors due to the limitations of manual operation. Artificial intelligence is an advanced computer program that can solve this problem. Therefore, the relevant literature on the ...
Neural Networks, Computer Artificial Intelligence Humans COVID-19 Bibliometrics Publications
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COVID-19 Semantic Pneumonia Segmentation and Classification Using Artificial Intelligence.

Contrast media & molecular imaging Sep 15, 2022
Coronavirus 2019 (COVID-19) has become a pandemic. The seriousness of COVID-19 can be realized from the number of victims worldwide and large number of deaths. This paper presents an efficient deep semantic segmentation network (DeepLabv3Plus). Initi...
COVID-19 SARS-CoV-2 Humans Semantics Deep Learning Pneumonia Artificial Intelligence
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A Natural Language Processing (NLP) Evaluation on COVID-19 Rumour Dataset Using Deep Learning Techniques.

Computational intelligence and neuroscience Sep 14, 2022
: Since December 2019, the coronavirus (COVID-19) epidemic has sparked considerable alarm among the general community and significantly affected societal attitudes and perceptions. Apart from the disease itself, many people suffer from anxiety and de...
Natural Language Processing Algorithms Deep Learning Humans COVID-19
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