Background and aims Tuberculosis (TB) still continues to be endemic in various regions of the world, including in India and needs surveillance, clinical assessment, testing, contact …
Mass customization and personalization are the significant implications of Industry 4.0. Even though additive manufacturing (AM) technologies possess the capability to personalize final …
Machine learning is an innovative approach that has extensive applications in prediction. This technique needs to be applied for the COVID-19 pandemic to identify patients at high …
In these changing times, Industry 4.0 technologies are being adopted in many parts of the world. These technologies are used to develop smart materials, smart factories, smart …
Telemedicine (TM) is used to treat patients in a remote location by using telecommunication technology. It exchanges the medical information and data from one location to another …
With the revolutionising of the industry to the next generations, machines have become more complicated. If they are not put to regular maintenance then there is more breakdown and …
J Lim, J Broughan, D Crowley, B O'Kelly… - European Journal of …, 2021 - Taylor & Francis
Background The COVID-19 pandemic has had a substantial impact on primary care throughout Europe and globally. Objectives This review aims to ascertain how the pandemic …
Health information technology (HIT) refers to the concept of applying cloud-based services, internet, connected network, etc. in healthcare. It mainly utilizes electronic health records …
This paper analyzes and explores how the fifth Industrial Revolution (Industry 5.0) can help manufacturing industry systems. With the help of upcoming advanced technologies, these …