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 related challenges. 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 the edge intelligent technology, along with the use of 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, we discuss potential challenges and future research directions arising when integrating these different technologies.

中文翻译：

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边缘智能赋能基于物联网的医疗保健系统


由于技术革命和人口激增，对实时、实惠、高效的智能医疗服务的需求呈指数级增长。为了满足对这一关键基础设施日益增长的需求，需要智能方法来应对现有的相关挑战。在这方面，与传统的集中式云和基于物联网的医疗保健系统相比，边缘计算技术可以通过将流程移近数据源来减少延迟和能源消耗。此外，通过将自动化洞察引入智能医疗系统，人工智能（AI）提供了提前检测和预测高危疾病、降低患者医疗成本并提供高效治疗的可能性。本文的目的是强调采用边缘智能技术以及在智能医疗系统中使用人工智能的好处。此外，还提出了一种新颖的智能医疗模式，以促进人工智能和边缘技术在智能医疗系统中的利用。此外，我们还讨论了集成这些不同技术时出现的潜在挑战和未来的研究方向。