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Pandemics

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PCA-Based Incremental Extreme Learning Machine (PCA-IELM) for COVID-19 Patient Diagnosis Using Chest X-Ray Images.

Computational intelligence and neuroscience
Novel coronavirus 2019 has created a pandemic and was first reported in December 2019. It has had very adverse consequences on people's daily life, healthcare, and the world's economy as well. According to the World Health Organization's most recent ...

VOC-DL: Deep learning prediction model for COVID-19 based on VOC virus variants.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: The ever-mutating COVID-19 has infected billions of people worldwide and seriously affected the stability of human society and the world economic development. Therefore, it is essential to make long-term and short-term forec...

A Survey on Machine Learning and Internet of Medical Things-Based Approaches for Handling COVID-19: Meta-Analysis.

Frontiers in public health
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
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
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
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)
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
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
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
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...