  The demand for real-time, affordable, and efficient smart healthcare services
is increasing exponentially due to the technological revolution and burst of
population. To meet the increasing demands on this critical infrastructure,
there is a need for intelligent methods to cope with the existing obstacles in
this area. In this regard, edge computing technology can reduce latency and
energy consumption by moving processes closer to the data sources in comparison
to the traditional centralized cloud and IoT-based healthcare systems. In
addition, by bringing automated insights into the smart healthcare systems,
artificial intelligence (AI) provides the possibility of detecting and
predicting high-risk diseases in advance, decreasing medical costs for
patients, and offering efficient treatments. The objective of this article is
to highlight the benefits of the adoption of edge intelligent technology, along
with AI in smart healthcare systems. Moreover, a novel smart healthcare model
is proposed to boost the utilization of AI and edge technology in smart
healthcare systems. Additionally, the paper discusses issues and research
directions arising when integrating these different technologies together.
