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.

本研究针对人工智能与区块链在医疗物联网（MedIoT）应用中的整合，探讨了当前研究中存在的问题和空白。论文提出了一种新颖的视角，将AI的诊断与患者护理能力与区块链的数据安全性结合，专注于提升系统的信任与可靠性。研究发现，要实现明天可依赖、安全且以患者为中心的MedIoT应用，必须解决当前存在的研究空白和挑战。

区块链与人工智能在医疗物联网应用中的信任与可靠性：研究挑战与未来方向