AIMC Topic: COVID-19

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PrivacyMask: Real-world privacy protection in face ID systems.

Mathematical biosciences and engineering : MBE Nov 7, 2022
Recent works have illustrated that many facial privacy protection methods are effective in specific face recognition algorithms. However, the COVID-19 pandemic has promoted the rapid innovation of face recognition algorithms for face occlusion, espec...
Algorithms Privacy Pattern Recognition, Automated Pandemics COVID-19 Humans Artificial Intelligence
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Piton: Investigating the Controllability of a Wearable Telexistence Robot.

Sensors (Basel, Switzerland) Nov 7, 2022
The COVID-19 pandemic impacted collaborative activities, travel, and physical contact, increasing the demand for real-time interactions with remote environments. However, the existing remote communication solutions provide limited interactions and do...
Wearable Electronic Devices Robotics Pandemics COVID-19 Humans
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COVID-19 classification using chest X-ray images based on fusion-assisted deep Bayesian optimization and Grad-CAM visualization.

Frontiers in public health Nov 4, 2022
The COVID-19 virus's rapid global spread has caused millions of illnesses and deaths. As a result, it has disastrous consequences for people's lives, public health, and the global economy. Clinical studies have revealed a link between the severity of...
Bayes Theorem X-Rays Humans COVID-19 Neural Networks, Computer Deep Learning
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Socially Assistive Humanoid Robots: Effects on Depression and Health-Related Quality of Life among Low-Income, Socially Isolated Older Adults in South Korea.

Journal of applied gerontology : the official journal of the Southern Gerontological Society Nov 3, 2022
Using a mixed-method study design, we examined the effects of a socially assistive humanoid robot (SAHR), called Hyodol, on depressive symptoms and health-related quality of life (HRQOL) of low-income, socially isolated older adults ( = 180). Quantit...
Aged Quality of Life Humans COVID-19 Depression Social Isolation Robotics
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A study on the performance and cost-effectiveness of robots in replacing manual nucleic acid collection method: Experience from the COVID-19 pandemic.

PloS one Nov 3, 2022
BACKGROUND: The COVID-19 pandemic has led nucleic acid collection and detection became a measure to ensure normal life in China. Considering the huge detection demand, it has emerged that robots replace manual sample collection. However, the cost-eff...
Cost-Benefit Analysis Humans Nucleic Acids COVID-19 Pandemics Robotics
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Diaphragmatic paralysis post COVID-19 treated with robot-assisted plication reinforced with acellular dermal matrix: a report of two cases.

Monaldi archives for chest disease = Archivio Monaldi per le malattie del torace Nov 2, 2022
Coronavirus disease 2019 (COVID-19) continues to be a disease of global importance, with an increasing array of sequelae attributed to infection by the severe acute respiratory syndrome coronavirus-2. One such complication that has been rarely docume...
Acellular Dermis Diaphragm Respiratory Paralysis Humans COVID-19 Cattle Robotics Animals
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A novel deep learning-based method for COVID-19 pneumonia detection from CT images.

BMC medical informatics and decision making Nov 2, 2022
BACKGROUND: The sensitivity of RT-PCR in diagnosing COVID-19 is only 60-70%, and chest CT plays an indispensable role in the auxiliary diagnosis of COVID-19 pneumonia, but the results of CT imaging are highly dependent on professional radiologists.
Humans Tomography, X-Ray Computed SARS-CoV-2 COVID-19 Deep Learning Research Design
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Teaching, Learning and Assessing Anatomy with Artificial Intelligence: The Road to a Better Future.

International journal of environmental research and public health Oct 31, 2022
Anatomy is taught in the early years of an undergraduate medical curriculum. The subject is volatile and of voluminous content, given the complex nature of the human body. Students frequently face learning constraints in these fledgling years of medi...
Pandemics COVID-19 Bayes Theorem Curriculum Humans Teaching Artificial Intelligence
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A CNN-transformer fusion network for COVID-19 CXR image classification.

PloS one Oct 27, 2022
The global health crisis due to the fast spread of coronavirus disease (Covid-19) has caused great danger to all aspects of healthcare, economy, and other aspects. The highly infectious and insidious nature of the new coronavirus greatly increases th...
Deep Learning Pneumonia COVID-19 Humans Algorithms Neural Networks, Computer
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Deep-learning-based hepatic fat assessment (DeHFt) on non-contrast chest CT and its association with disease severity in COVID-19 infections: A multi-site retrospective study.

EBioMedicine Oct 26, 2022
BACKGROUND: Hepatic steatosis (HS) identified on CT may provide an integrated cardiometabolic and COVID-19 risk assessment. This study presents a deep-learning-based hepatic fat assessment (DeHFt) pipeline for (a) more standardised measurements and (...
Tomography, X-Ray Computed Severity of Illness Index Deep Learning Fatty Liver COVID-19 Humans Retrospective Studies
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