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Full Description
This book provides a comprehensive guide to the groundbreaking technologies underpinning the Smart and Connected Health (SCH) revolution. It aims to demystify the principles, architectures, applications, challenges, and potentials of AI, Tiny ML, IoT, Edge-Fog-Cloud Computing, Blockchain, and Trustworthy Technologies within the healthcare context. The authors present a thorough compilation of SCH-related content, designed to meet the needs of researchers and practitioners in this field. It delves into the essential aspects of designing and engineering an advanced SCH solution, incorporating a cross-layer approach from the device level to edge/fog/cloud and further into analytics/applications/services.
USP:
Offers readers a single-source reference to the state-of-the art in Smart and Connected Health (SCH)
Enables readers to appreciate the fusion of various technological realms, shaping a new frontier in healthcare
Showcases diverse real-world applications, such as AI-powered clinical decision support, stress monitoring, non-invasive cancer screening, diabetes management, and pandemic response, demonstrating the practical impact of SCH technologies across healthcare domains.
Includes contributions from world-renowned experts from academia and industry
Contents
Introduction to smart and connected healthcare.- Architecting internet of medical things.- Service and process engineering.- Smart sensor technologies and wearable iot for healthcare.- Big data management for healthcare.- Ai for Healthcare.- Medical imaging.- Speech recognition systems in healthcare.- Natural language processing and large language models in healthcare.- Explainable ai in healthcare.- Intervention and recommendation systems.- Distributed ledger technologies and blockchain for biomedical and healthcare Applications.- The convergence of iot ai edge fog cloud computing and blockchain.- Sensitive healthcare data privacy and security issues and solutions from federated learning to differential privacy.- Interoperability in healthcare.- Sch data monetization.
