Artificial Intelligence-Enabled Internet of Medical Things: Smart Medical Systems and Patient-Centred Care

This book presents a rigorous and multidimensional investigation into the convergence of Artificial Intelligence (AI) and the Internet of Medical Things (IoMT), offering a deep technical discourse on the design, deployment, and optimization of intelligent, interconnected healthcare ecosystems. This volume critically examines the foundational frameworks, communication architectures, embedded electronics, device protocols, and networked infrastructures that enable Artificial Intelligence-enabled Internet of Medical Things (AIoMT) systems to function as responsive, real-time, and data-driven healthcare platforms.

The book systematically addresses the full lifecycle of AIoMT systems, from historical evolution and conceptual underpinnings to real-world application domains including medical image analysis, robotic-assisted surgery, telemedicine, and clinical data acquisition. It also explores the integration of AI methodologies, such as machine learning, deep learning, and reinforcement learning, within IoMT infrastructures to facilitate autonomous decision-making, predictive analytics, and personalized medical interventions. A significant focus is given to the cybersecurity landscape, including comprehensive analyses of threat vectors, system vulnerabilities, and adversarial attacks specific to AIoMT ecosystems. The discussion is augmented by detailed security frameworks, cryptographic protocols, and resilience strategies to safeguard data integrity, patient privacy, and system reliability. Furthermore, the volume presents robust methodologies for training, validation, and performance benchmarking of AIoMT systems in real-world and simulated environments.

In addition to providing theoretical insights, the work presents empirical case studies that demonstrate the deployment and operationalization of AIoMT solutions across various healthcare settings. It concludes with a forward-looking perspective on emerging research trajectories, standardization needs, ethical implications, and the evolution of AIoMT as a cornerstone in future smart, adaptive, and patient-centred healthcare systems. This book is an essential resource for AI researchers, biomedical engineers, IoT developers, healthcare technologists, and policy architects engaged in the development and governance of next-generation intelligent medical infrastructures.

Book Contents:

1: Historical Perspectives of AIoMT

2: AIoMT Communication and Networks

3: AIoMT Devices and Protocols

4: Electronics Devices in AIoMT

5: AIoMT Application Domains

6: AIoMT Concerns

7: AIoMT Risks

8: AIoMT Challenges

9: Cyber-Attacks Against AIoMT

10: AIoMT Security Measures

11: Recommendations Towards Securing AIoMT Systems

12: AIoMT for Recording and Processing Medical Information

13: AIoMT Enabling Medical Image Processing

14: Application of AIoMT in Medical Robotics

15: AIoMT Enabling Telemedicine

16: AIoMT in Hospital Information Systems Management

17: AIoMT Enabling Secure Communication of Medical Systems

18: AIoMT Training, Testing, and Validation

19: AIoMT Enabling Teaching and Learning

20: Case Studies in AIoMT Application

21: Future Directions of AIoMT Application