TY - JOUR
T1 - Enabling Ambient Intelligence of Things (AIoT) healthcare system architectures
AU - Pise, Anil
AU - Yoon, Byungun
AU - Singh, Saurabh
N1 - Publisher Copyright:
© 2022
PY - 2023/1/15
Y1 - 2023/1/15
N2 - 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 AIoT-H 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.
AB - 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 AIoT-H 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.
KW - Ambient intelligence
KW - Artificial intelligence
KW - Disease detection
KW - Healthcare analytics
KW - Healthcare informatics
KW - Predictive analytics
UR - http://www.scopus.com/inward/record.url?scp=85143759849&partnerID=8YFLogxK
U2 - 10.1016/j.comcom.2022.10.029
DO - 10.1016/j.comcom.2022.10.029
M3 - Article
AN - SCOPUS:85143759849
SN - 0140-3664
VL - 198
SP - 186
EP - 194
JO - Computer Communications
JF - Computer Communications
ER -