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Trust and Dependability in Blockch-AI-n Based MedIoT Applications: Research Challenges and Future Directions

Lookup NU author(s): Dr Ellis SolaimanORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).

Abstract

This paper critically reviews the integration of Artificial Intelligence (AI) and blockchain technologies in the context of Medical Internet of Things (MedIoT) applications, where they collectively promise to revolutionize healthcare delivery. By examining current research, we underscore AI's potential in advancing diagnostics and patient care, alongside blockchain's capacity to bolster data security and patient privacy. We focus particularly on the imperative to cultivate trust and ensure reliability within these systems. Our review highlights innovative solutions for managing healthcare data and challenges such as ensuring scalability, maintaining privacy, and promoting ethical practices within the MedIoT domain. We present a vision for integrating AI-driven insights with blockchain security in healthcare, offering a comprehensive review of current research and future directions. We conclude with a set of identified research gaps and propose that addressing these is crucial for achieving the dependable, secure, and patient-centric MedIoT applications of tomorrow.

Publication metadata

Author(s): Solaiman E, Awad C

Publication type: Article

Publication status: Published

Journal: IT Professional

Year: 2024

Volume: 26

Issue: 3

Pages: 87-93

Online publication date: 26/06/2024

Acceptance date: 26/03/2024

Date deposited: 08/05/2024

ISSN (print): 1520-9202

ISSN (electronic): 1941-045X

Publisher: IEEE

URL: https://doi.org/10.1109/MITP.2024.3378582

DOI: 10.1109/MITP.2024.3378582

ePrints DOI: 10.57711/cb3t-jz18

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