Enabling Ambient Intelligence of Things (AIoT) healthcare system architectures

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.

Automated summary

In recent years, there has been significant research in healthcare and administration of cutting-edge ambient intelligence (AmI) technology. Healthcare experts have explored smart gadgets, medical technologies, and ambient intelligence using Internet of Things (IoT) (AIoT). The potential to improve care for individuals living in rural and distant areas by linking these two fields is evident. The healthcare industry has experienced tremendous advances in efficiency, affordability, and usefulness, thanks to new growth opportunities and significant cost reductions. The application of AIoT-H is expected to be covered in the last section, examining relevant approaches for solving healthcare problems and identifying potential issues and inconsistencies.