Machine Intelligence for Internet of Medical Things: Applications and Future Trends

Author(s): Maria Nawaz Chohan* and Sana Nawaz Chohan

DOI: 10.2174/9789815080445123020010

Cyber Secure AIoT Applications in Future Pandemics

Pp: 107-119 (13)

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* (Excluding Mailing and Handling)

  • * (Excluding Mailing and Handling)

Abstract

SHS investigation development is considered from the geographical and historical viewpoint. 3 stages are described. Within Stage 1 the work was carried out in the Department of the Institute of Chemical Physics in Chernogolovka where the scientific discovery had been made. At Stage 2 the interest to SHS arose in different cities and towns of the former USSR. Within Stage 3 SHS entered the international scene. Now SHS processes and products are being studied in more than 50 countries.

Abstract

In the era of digitalization, artificial intelligence and IoT play an important role in COVID-19. Collecting real-time data using the internet of things has removed barriers and improved end-to-end delays between patients & doctors. During COVID- 19, IoT connected people through wireless communication technology. However, by utilizing AI, different diseases can be identified easily. This research article has merged IoT with AI, which is called the Artificial Internet of Things (AIoT). Monitoring of patient health can be made possible due to the sub-class of AI known as machine learning. Industry 5.0 has combined big data, IoT, AI, 5G and cognitive ICT technologies to exchange information. Due to the widespread of dangerous diseases, people face several challenges, including inadequate preparation, shortage of medicines and poor resources, and increasing death rates. Data collection is the initial step toward research and innovation. Therefore, many applications are discussed properly, which include tele-medicine, early warning systems, wearable devices, and UAVs that help to support the healthcare industry.

Keywords:

AI, COVID-19, IoT, UAVs.

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