AIMC Topic: Pandemics
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A Survey on Machine Learning and Internet of Medical Things-Based Approaches for Handling COVID-19: Meta-Analysis.
Frontiers in public health
Jun 23, 2022
Early diagnosis, prioritization, screening, clustering, and tracking of patients with COVID-19, and production of drugs and vaccines are some of the applications that have made it necessary to use a new style of technology to involve, manage, and dea...
The adoption of socially assistive robots for long-term care: During COVID-19 and in a post-pandemic society.
Healthcare management forum
Jun 17, 2022
The rapid spread of COVID-19 has prompted a surge in the adoption of technology, highlighting a number of potential applications for Socially Assistive Robots (SARs). Our entire healthcare system has been under unprecedented strain, and going forward...
An insight into the current perceptions of UK radiographers on the future impact of AI on the profession: A cross-sectional survey.
Journal of medical imaging and radiation sciences
Jun 15, 2022
INTRODUCTION: As a profession, radiographers have always been keen on adapting and integrating new technologies. The increasing integration of artificial intelligence (AI) into clinical practice in the last five years has been met with scepticism by ...
Application of a Tele-Ultrasound Robot During COVID-19 Pandemic: A Feasibility Study.
Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine
Jun 11, 2022
OBJECTIVE: To investigate the accuracy of ultrasonic diagnosis using the tele-ultrasound robot in Leishen Shan Hospital.
The Smart in Smart Cities: A Framework for Image Classification Using Deep Learning.
Sensors (Basel, Switzerland)
Jun 10, 2022
The need for a smart city is more pressing today due to the recent pandemic, lockouts, climate changes, population growth, and limitations on availability/access to natural resources. However, these challenges can be better faced with the utilization...
Emerging Artificial Intelligence-Empowered mHealth: Scoping Review.
JMIR mHealth and uHealth
Jun 9, 2022
BACKGROUND: Artificial intelligence (AI) has revolutionized health care delivery in recent years. There is an increase in research for advanced AI techniques, such as deep learning, to build predictive models for the early detection of diseases. Such...
Modern Machine-Learning Predictive Models for Diagnosing Infectious Diseases.
Computational and mathematical methods in medicine
Jun 9, 2022
Controlling infectious diseases is a major health priority because they can spread and infect humans, thus evolving into epidemics or pandemics. Therefore, early detection of infectious diseases is a significant need, and many researchers have develo...
PCovNet: A presymptomatic COVID-19 detection framework using deep learning model using wearables data.
Computers in biology and medicine
Jun 7, 2022
While the advanced diagnostic tools and healthcare management protocols have been struggling to contain the COVID-19 pandemic, the spread of the contagious viral pathogen before the symptom onset acted as the Achilles' heel. Although reverse transcri...
Accurate virus identification with interpretable Raman signatures by machine learning.
Proceedings of the National Academy of Sciences of the United States of America
Jun 2, 2022
Rapid identification of newly emerging or circulating viruses is an important first step toward managing the public health response to potential outbreaks. A portable virus capture device, coupled with label-free Raman spectroscopy, holds the promise...
A Novel Approach on Deep Learning-Based Decision Support System Applying Multiple Output LSTM-Autoencoder: Focusing on Identifying Variations by PHSMs' Effect over COVID-19 Pandemic.
International journal of environmental research and public health
Jun 1, 2022
Following the outbreak of the COVID-19 pandemic, the continued emergence of major variant viruses has caused enormous damage worldwide by generating social and economic ripple effects, and the importance of PHSMs (Public Health and Social Measures) i...
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