Enabling Ambient Intelligence of Things (AIoT) healthcare system architectures

Anil Pise, Byungun Yoon, Saurabh Singh

Research output: Contribution to journalArticlepeer-review

24 Scopus citations

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 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.

Original languageEnglish
Pages (from-to)186-194
Number of pages9
JournalComputer Communications
Volume198
DOIs
StatePublished - 15 Jan 2023

Keywords

  • Ambient intelligence
  • Artificial intelligence
  • Disease detection
  • Healthcare analytics
  • Healthcare informatics
  • Predictive analytics

Fingerprint

Dive into the research topics of 'Enabling Ambient Intelligence of Things (AIoT) healthcare system architectures'. Together they form a unique fingerprint.

Cite this