Citation

Subhan, Fazli and Mirza, Alina and Mohd Su'ud, Mazliham and Alam, Muhammad Mansoor and Nisar, Shibli and Habib, Usman and Iqbal, Muhammad Zubair (2023) AI-Enabled Wearable Medical Internet of Things in Healthcare System: A Survey. Applied Sciences, 13 (3). p. 1394. ISSN 2076-3417

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Abstract

Technology has played a vital part in improving quality of life, especially in healthcare. Artificial intelligence (AI) and the Internet of Things (IoT) are extensively employed to link accessible medical resources and deliver dependable and effective intelligent healthcare. Body wearable devices have garnered attention as powerful devices for healthcare applications, leading to various commercially available devices for multiple purposes, including individual healthcare, activity alerts, and fitness. The paper aims to cover all the advancements made in the wearable Medical Internet of Things (IoMT) for healthcare systems, which have been scrutinized from the perceptions of their efficacy in detecting, preventing, and monitoring diseases in healthcare. The latest healthcare issues are also included, such as COVID-19 and monkeypox. This paper thoroughly discusses all the directions proposed by the researchers to improve healthcare through wearable devices and artificial intelligence. The approaches adopted by the researchers to improve the overall accuracy, efficiency, and security of the healthcare system are discussed in detail. This paper also highlights all the constraints and opportunities of developing AI enabled IoT-based healthcare systems.

Item Type:	Article
Uncontrolled Keywords:	AI, healthcare, IoMT, wearable devices, detection, monitoring
Subjects:	Q Science > Q Science (General) > Q300-390 Cybernetics T Technology > T Technology (General)
Divisions:	Faculty of Computing and Informatics (FCI)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	28 Feb 2023 06:12
Last Modified:	28 Feb 2023 06:12
URII:	http://shdl.mmu.edu.my/id/eprint/11161

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