Trust and Dependability in Blockch-AI-n-Based Medical Internet of Things Applications: Research Challenges and Future Directions

Abstract

This article critically reviews the integration of AI and blockchain technologies in the context of Medical Internet of Things (MedIoT) applications, where they collectively promise to revolutionize health-care 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 health-care 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 health care, 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.