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.
翻译:由于技术革命和人口暴增,对实时、负担得起和高效智能保健服务的需求正在急剧增长。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这一领域的现有障碍。在这方面,与传统的中央云层和基于IoT的保健系统相比,尖端计算机技术可以使流程更接近数据源,从而减少潜伏和能源消耗。此外,通过自动了解智能保健系统,人工智能(AI)提供了预先发现和预测高风险疾病、降低病人医疗成本和提供高效治疗的可能性。本篇文章的目的是强调采用尖端智能技术以及智能保健系统采用AI的好处。此外,还提出了一个新的智能保健模型,以促进智能保健系统对AI和边端技术的利用。此外,本文件讨论了将这些不同技术结合起来时出现的问题和研究方向。