Trust and Dependability in Blockchain & AI Based MedIoT Applications: Research Challenges and Future Directions

TL;DR

This paper reviews the integration of AI and blockchain in MedIoT, emphasizing trust, security, and reliability challenges, and proposes future research directions for secure, scalable healthcare systems.

Contribution

It provides a comprehensive review of current research, identifies key challenges, and outlines future directions for trustworthy AI and blockchain integration in MedIoT.

Findings

AI enhances diagnostics and patient care

Blockchain improves data security and privacy

Identifies research gaps and future challenges

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.