| Autor: |
Ugochukwu Okwudili Matthew, Jazuli S. Kazaure, Chibueze N. Ubochi, Umar Abdu Adamu, Onyebuchi Amaonwu, Ibrahim Muhammad Hassan, Aminu Abdulahi Kazaure |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
Algorithms for Intelligent Systems ISBN: 9789811615733 |
| Popis: |
The global world had recently observed a set of computational paradigm shift characterised by Internet of Things (IoTs), Internet of Health Things (IoHTs), Innovative Internet of 5G Medical Robotic Things (IIo-5GMRTs), Artificial Intelligence and 5G network technology injection in the ongoing COVID-19 global pandemic which had assisted the healthcare service sector to deliver on the key mandates and countries to perform better in the ongoing COVID-19 global pandemic. The ongoing infectious COVID-19 pandemic had exerted the healthcare sector and compelled the healthcare professionals all over the globe to face the challenging moment of handling the infected persons with infinitesimal social and bodily contacts. The apprehension for the Healthcare sector workers to presumably stand at advantageous gain from technological development in the ongoing COVID-19 had motivated the development of several healthcare technologies to enable hospitals perform better through innovative approaches offered by Internet of Things, 5G Medical Robotics for hospital disinfection, Internet of Things Healthcare monitoring and Artificial Intelligence Drones for logistics management. The scientists believed that COVID-19 will ostensibly drive scientific innovations in the 5G medical robotics which will consolidate the industry 4.0 extreme healthcare automation. The current research proposed a cost effective healthcare technologies for hospital disinfection routine operations and remote access monitoring using Internet of Things Medical Robotics to lower the risk of hospital acquired infection in the ongoing COVID-19 pandemic. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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