AI-Enhanced Secure and Efficient Information Exchange in Medical IoT Using DAG-Based Blockchain

Advances in artificial intelligence (AI)–driven medical Internet of Things (IoT) systems have greatly simplified the acquisition and sharing of clinical data. Nevertheless, issues related to confidentiality, protection of sensitive information, and communication performance have become increasingly urgent. Although numerous studies apply AI and blockchain frameworks to mitigate these concerns, limited attention has been given to how the inherently slow consensus procedures of traditional blockchain designs restrict exchange efficiency. To address this, we introduce an AI-assisted information exchange model built on a DAG-based blockchain architecture, aiming to deliver a secure and high-performance data-sharing environment for the medical IoT. Furthermore, a new tip-selection mechanism is presented to shorten consensus latency, enabling quicker access to reliable blockchain-based information. Simulation outcomes confirm that, relative to existing DAG-oriented blockchain strategies, the method described in this work offers superior information exchange efficiency.