Artificial Intelligence-Enabled Internet of Medical Things Predictive Analytics, Personalized Care, and Compliance Challenges

Résumé du livre

The convergence of Artificial Intelligence (AI) and the Internet of Things (IoT) is no longer a distant promise; it is actively reshaping the practice of medicine. From continuous glucose monitors that anticipate hypoglycemic events hours in advance to smart hospital systems that predict patient deterioration before vital signs collapse, the integration of real-time sensing and intelligent computation is shifting healthcare from a predominantly reactive discipline to one that is increasingly predictive, personalized, and proactive. This volume, Artificial Intelligence, brings together leading researchers and practitioners to examine the technologies, architectures, applications, and challenges that define this transformation. The chapters that follow explore the full spectrum of the AI–IoT ecosystem in healthcare: from foundational concepts in predictive analytics and wearable biosensors to advanced topics in multimodal data fusion, edge computing, big data architectures, ethical governance, and the emerging paradigms of digital twins and federated learning.

Our contributors represent institutions and perspectives from across the globe, yet they share a common conviction: the future of healthcare will be built on systems that do not merely collect data, but understand it, act upon it, and do so equitably and responsibly. The book is therefore as much about rigorous engineering and clinical validation as it is about the ethical, regulatory, and societal questions that must accompany rapid technological change. We are deeply grateful to the authors for their scholarly generosity and intellectual rigor, to the reviewers for their critical insights, and to Deep Science Publishing for their commitment to open-access dissemination of knowledge. It is our hope that this collection serves not only as a comprehensive reference for researchers, engineers, and clinicians already working at this frontier, but also as an invitation to students, policymakers, and healthcare leaders to engage critically with the possibilities and the responsibilities that AI and IoT now place before us.

May the ideas presented here contribute to a future in which intelligent systems extend human expertise rather than replace it, in which predictive technologies narrow rather than widen health disparities, and in which medicine moves decisively from the treatment of disease to the preservation of well-being.