Smart Decision Systems: Integrating Symbolic AI and Cognitive Heuristics for IOMT

The Internet of Medical Things (IoMT) is emerging from today’s world to futuristic vision in reshaping healthcare. From wearable devices to AI enabled implantable devices, the IoMT connects patients, providers, and policymakers promising unprecedented accuracy, efficiency, and personalization. Though this also brings critical challenges like cybersecurity threats, legal uncertainties, ethical dilemmas, and the urgent demand for transparency and trust. This book brings together leading voices from computer science, law, and ethics to present a comprehensive guide to smart IoMT decision systems where you will find: knowledge-based frameworks that blend AI, semantics, and predictive analytics; legal and regulatory analyses from India, the EU, and the United States; discussions on accountability, transparency, and ethical responsibility; practical insights into risks, threats, and proactive security architectures and a research roadmap for next-generation IoMT intelligence, including digital twins, federated learning, and hybrid AI models. Whether you are a healthcare professional, AI researcher, policymaker, or student, this book offers critical understanding and forward-looking vision needed to navigate the evolving world of IoMT with confidence and care.