Edge-Cloud Computing and Artificial Intelligence in Internet of Medical Things: Architecture, Technology and Application

Lanfang Sun,Yi Guo,Xin Jiang,Huixia Ren

doi:10.1109/access.2020.2997831

Lanfang Sun, Yi Guo + Show 2 more

Open Access

https://doi.org/10.1109/access.2020.2997831

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Journal: IEEE Access	Publication Date: Jan 1, 2020
Citations: 110	License type: CC BY 4.0

Affiliation: Dalian University of Technology, Jinan University

Abstract

With the booming development of medical informatization and the ubiquitous connections in the fifth generation mobile communication technology (5G) era, the heterogeneity and explosive growth of medical data have brought huge challenges to data access, security and privacy, as well as information processing in Internet of Medical Things (IoMT). This article provides a comprehensive review of how to realize the timely processing and analysis of medical big data and the sinking of high-quality medical resources under the constraints of the existing medical environment and medical-related equipment. We mainly focus on the advantages brought by the cloud computing, edge computing and artificial intelligence technologies to the IoMT. We also explore how to rationalize the use of medical resources and the security and privacy of medical data, so that high-quality medical services can be provided to patients. Finally, we discuss the current challenges and possible future research directions in the edge-cloud computing and artificial intelligence related IoMT.

Highlights

We know that the digital transformation in the medical field started earlier, it has developed slowly compared with other fields [1]
We introduce the architecture of traditional Internet of Medical Things (IoMT), analyze the key Internet of Things (IoT) technologies applied in the medical field, and propose the research directions to maximize its effectiveness in the medical field
Considering the rapid growth of medical data and the complexity of data structure, we study the three-tier architecture of cloud computing for IoMT and introduce the technologies involved in the application of cloud computing to IoMT

Summary

INTRODUCTION

We know that the digital transformation in the medical field started earlier, it has developed slowly compared with other fields [1]. L. Sun et al.: Edge-Cloud Computing and Artificial Intelligence in Internet of Medical Things: Architecture, Technology and Application main conditions of patients. The IoMT based on cloud computing provides powerful IT basic resources and greatly reduces medical costs It can satisfy the mass storage of medical data, and realize the sharing of medical information through the cloud platform, to improve the efficiency and quality of medical services. We introduce the architecture of traditional IoMT, analyze the key IoT technologies applied in the medical field, and propose the research directions to maximize its effectiveness in the medical field. According to the limitations of current development, existing research content and emerging 5G technology, we discuss the possible future development directions and research challenges in the field of edge medical cloud.

INTERNET OF MEDICAL THINGS

CONCLUSION