The internet of medical things and artificial intelligence: trends, challenges, and opportunities

High quality and efficient medical service is one of the major factors defining living standards. Developed countries strive to make their healthcare systems as efficient and costeffective as possible. Remote medical services are a promising approach to lower medical costs and, at the same time, accelerating diagnosis and treatment of diseases. Internet of things (IoT) has the power to connect several devices, users, databases, etc., in a unified manner. Internet of medical things (IoMT) is some type of IoT designed to facilitate medical services. Using IoMT, many of the medical tasks, such as chronic disease monitoring, disease diagnosis, etc., can be realized remotely, leading to lower healthcare costs and better services. This paper is devoted to the role of artificial intelligence (AI) in recent advances on IoMT. Hardware requirements and recent articles proposing solutions for IoMT using AI are reviewed. A comprehensive list of major benefits and challenges is presented as well. Wearable medical devices (WMDs) are also investigated. The WMDs classification is also performed based on their technology. Market share and its anticipated growth for different types of WMDs are also analyzed for the first time. Moreover, common applications of AI in IoMT are reviewed and then classified based on their usage. The paper is closed with the conclusion and possible directions for future works.Crown Copyright (c) 2022 Published by Elsevier B.V. on behalf of Nalecz Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences. All rights reserved.

Automated summary

This paper focuses on the role of artificial intelligence (AI) in recent advances on internet of medical things (IoMT) to lower healthcare costs and improve services. It reviews hardware requirements, proposed solutions, and analyzes the market share of wearable medical devices (WMDs). The paper concludes with a summary of the current progress and suggestions for future research directions.