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Cited 11 time in webofscience Cited 24 time in scopus
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Enabling Ambient Intelligence of Things (AIoT) healthcare system architecturesopen access

Authors
Pise, AnilYoon, ByungunSingh, Saurabh
Issue Date
Jan-2023
Publisher
ELSEVIER
Keywords
Artificial intelligence; Ambient intelligence; Healthcare analytics; Predictive analytics; Healthcare informatics; Disease detection
Citation
Computer Communications, v.198, pp 186 - 194
Pages
9
Indexed
SCIE
SCOPUS
Journal Title
Computer Communications
Volume
198
Start Page
186
End Page
194
URI
https://scholarworks.dongguk.edu/handle/sw.dongguk/20949
DOI
10.1016/j.comcom.2022.10.029
ISSN
0140-3664
1873-703X
Abstract
During the last decade, significant research has been conducted in the fields of healthcare and the administration of cutting-edge ambient intelligence (AmI) technology. Healthcare experts explored smart gadgets and other medical technologies, as well as ambient intelligence using Internet of Things (IoT) (AIoT). The potential for linking the two regions and improving care for individuals living in rural and distant areas is apparent. The healthcare industry has seen tremendous advances in efficiency, affordability, and usefulness as a result of new growth possibilities and drastic cost reductions. This includes a how-to guide on how medical advancements may be both helpful and detrimental as a result of (AIoT-based) technology. The AIoTH application is anticipated to be covered in the last section since it has the ability to assist with current and varied technologies, and relevant approaches for solving healthcare problems are examined. Furthermore, many potential problems and inconsistencies with the AIoT-H method are often identified. Current and future academics interested in the subject will be able to examine a wide range of possible AIoT-H implementations in order to get a better understanding of the effect and influence on any of the many AIoT applications.
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