The convergence of Artificial Intelligence (AI) and distributed Cyber-Physical Systems (CPS) is driving a paradigm shift in modern healthcare and medical systems. AI-driven CPS enable intelligent, adaptive, and (real-time) network-based interactions between physical medical devices and digital infrastructures, fostering the development of scalable, resilient, and human-centric medical solutions.
The AiDDRESS-MED Workshop on AI-Driven Distributed Cyber-Physical Systems for Smart Medical Solutions invites high-quality original research contributions at the intersection of Artificial Intelligence, distributed systems, and healthcare technologies.
Key topics include AI-enabled CPS architectures, network-based paradigms for medical application, agentic and multi-agent systems for healthcare, distributed and federated learning, IoT and wearable medical devices, digital twins, real-time analytics, and secure data sharing. Particular attention will be given to scalability, interoperability, privacy, trust, and autonomy in medical CPS. AiDDRESS- MED aims to bring together researchers, practitioners, and industry experts to discuss innovative approaches, challenges, and future trends in the design and deployment of AI-driven distributed CPS for smart medical solutions.
Topics of Interest
Topics include, but are not limited to:
• AI-driven Cyber-Physical Systems for medical applications
• Distributed and federated learning in healthcare
• Network paradigms and approaches for medical application
• Edge–cloud continuum for medical CPS
• Internet of Medical Things (IoMT) and wearable devices
• Digital twins for smart medical systems
• Big data analytics for healthcare networks
• Blockchain and decentralized healthcare infrastructures
• Security, privacy, and trust in medical CPS
• Real-time monitoring and predictive healthcare systems
• Human-in-the-loop AI for clinical decision support
• Interoperability and standardization in healthcare systems
• AI for networked medical systems and infrastructures
• Agentic AI for Distributed Medical Cyber-Physical Systems
• Autonomous and Agent-based AI in Medical CPS