Artificial Intelligence-driven Informatics and Medical Internet of Things (el. knyga) (skaityta knyga) | knygos.lt

Aprašymas

Healthcare is undergoing a profound transformation driven by the convergence of Artificial Intelligence (AI) and the Medical Internet of Things (MIoT). This powerful integration is enabling a new era of smart healthcare systems that are predictive, personalized, and continuously connected. Artificial Intelligence driven Informatics and Medical Internet of Things presents a comprehensive exploration of this emerging paradigm. It brings together cutting-edge research, practical applications, and interdisciplinary perspectives to illustrate how intelligent algorithms and connected medical devices are reshaping modern healthcare. A key strength of this book lies in its forward-looking perspective, examining emerging trends such as agentic AI, smart healthcare infrastructures, and the future of connected medical systems.

This book:

• Covers a wide range of topics from foundational concepts of AI and IoT to advanced machine learning models, deep learning applications, and real-time healthcare analytics.
• Highlights innovative solutions for disease prediction, diagnosis, and clinical decision support.
• Addresses critical challenges such as data security, privacy, and ethical considerations in MIoT-enabled environments.
• Demonstrates the transformative impact of AI-driven informatics in real-world settings through detailed case studies and domain-specific applications, including diabetes care, epilepsy detection, Alzheimer's diagnosis, and emergency healthcare systems.
• Integrates Electronic Health Records (EHRs), multimodal AI systems, and intelligent chatbots further underscores the move toward patient-centric and data-driven healthcare ecosystems and provides valuable insights into how these technologies can be harnessed to improve healthcare accessibility, efficiency, and quality on a global scale.

Bridging technology and medicine, this book offers a roadmap toward a smarter, more connected, and equitable healthcare future and is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics and communications engineering, computer science and engineering, and biomedical engineering.