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

• Autorzy: Kakhi Kourosh , Alizadehsani Roohallah , Kabir H. M. Dipu , Khosravi Abbas , Nahavandi Saeid , Acharya U. Rajendra

Identyfikatory

DOI

10.1016/j.bbe.2022.05.008

• Języki publikacji: EN

Abstrakty

EN

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 cost-effective 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 IoMTusing 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.

Słowa kluczowe

EN

internet of medical things; Internet of things; artificial intelligence; remote medical treatment; deep learning

PL

Internet rzeczy medycznych; Internet rzeczy; sztuczna inteligencja; zdalna opieka medyczna; uczenie głębokie

• Wydawca: Nałęcz Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences ; Elsevier
• Czasopismo: Biocybernetics and Biomedical Engineering
• Rocznik: 2022
• Tom: Vol. 42, no. 3
• Strony: 749--771
• Opis fizyczny: Bibliogr. 188 poz., rys., tab., wykr.

Twórcy

autor

Kakhi Kourosh

• Institute for Intelligent Systems Research and Innovation, Deakin University, Geelong, Australia

autor

Alizadehsani Roohallah

• Institute for Intelligent Systems Research and Innovation, Deakin University, Geelong, Australia

autor

Kabir H. M. Dipu

• Institute for Intelligent Systems Research and Innovation, Deakin University, Geelong, VIC 3216, Australia

autor

Khosravi Abbas

• Institute for Intelligent Systems Research and Innovation, Deakin University, Geelong, Australia

autor

Nahavandi Saeid

• Institute for Intelligent Systems Research and Innovation, Deakin University, Geelong, Australia
• Harvard Paulson School of Engineering and Applied Sciences, Harvard University, Allston, MA, United States

autor

Acharya U. Rajendra

• Department of Electronics and Computer Engineering, Ngee Ann Polytechnic, Singapore
• Department of Biomedical Engineering, School of Science and Technology, SUSS University, Singapore
• Department of Biomedical Informatics and Medical Engineering, Asia University, Taichung, Taiwan

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