Dr. R. Praveen is working as an Assistant Professor in the department of Computer Science and Engineering at National Institute of Technology Puducherry, Karaikal, India. He completed his Ph.D. in the Department of Computer Technology at Anna University, Chennai, India. He secured the first rank in the university during his master’s program. He is actively working in secure user authentication for the Internet of Medical Things (IoMT), cloud computing, decision-making models in wireless sensor networks and blockchain for Internet of Things (IoT) security. He is currently serving as an Academic Editor for PLOS One and editor in Scientific reports journal.Dr. Karthik Ramamurthy obtained his Doctoral degree from Vellore Institute of Technology, India and Master’s degree from Anna University, India. Currently, He serves as Associate Professor in the Research Centre for Cyber Physical Systems, Vellore Institute of Technology, Chennai. His research interest includes Artificial Intelligence, Deep Learning, Computer Vision, Digital Image Processing, and Medical Image Analysis. He has published around 80 papers in peer reviewed journals and conferences. He is an active reviewer for journals published by Elsevier, IEEE Springer and Nature.

• Part I: Foundations1. Introduction to Secure and Intelligent Medical Devices2. Evolution of AI in Healthcare Devices3. Importance of Lightweight Models for Medical Devices and Medical Data Security4. Balancing Prediction, Reliability and Security5. Medical Device Standards and Security Regulations across Countries6. Lightweight AI and Generative AI for Healthcare SystemsPart II: Prediction and Reliability7. AI for Disease Prediction in Medical Devices8. Innovative Lightweight AI Techniques for Chronic Disease Monitoring9. AI-Powered Wearables and Implantable Edge Devices for Early Detection10. Reliability and Performance Optimisation in Medical Devices11. Predictive Maintenance of Critical Medical Equipment12. AI-Driven Device Calibration and Fault Detection13. Personalised and Precision Medicine with AI-Enabled DevicesPart III: Security and Privacy14. Network Architectures for Medical Devices15. Medical Data Security and Privacy-Preserving AI16. Lightweight Secure Communication in IoMT17. Adversarial Attacks and Robustness of AI Models in Healthcare18. Quantum Technologies for Intelligent HealthcarePart IV: Trends, Perspectives, and Future Frontiers19. Edge AI and Digital Twins for Next-Generation Devices20. Trustworthy and Explainable AI in Medical Devices21. Transforming Healthcare: Augmented Reality (AR) and Virtual Reality (VR)22. Emerging Trends in Generative AI for Healthcare Devices23. Future Frontiers in Secure and Intelligent Medical Devices24. Conclusion and Recommendations