AI in Smart and Secure Healthcare: Research Trends and Future Opportunities (Springer Optimization and Its Applications, 50)

This book offers a comprehensive exploration of artificial intelligence's transformative impact on the healthcare sector as it relates to SDG #3: Good Health and Well-Being, highlighting its potential to revolutionize traditional practices. It delves into the integration of AI across various facets of healthcare, from data collection and processing to diagnostic algorithms and predictive analytics. Designed as an essential resource, it serves researchers, clinicians, technologists, and policymakers eager to harness AI to improve patient outcomes and system efficiency. 

The chapters present a diverse array of AI applications, bridging foundational research with cutting-edge innovations. Readers will encounter intelligent frameworks for healthcare data, multimodal disease analysis techniques, and advanced clinical decision support systems. The volume also explores transformative technologies like augmented reality for patient care, AI-powered prosthetics, and IoT-enabled real-time monitoring. Emphasizing patient-centric advancements, it discusses personalized care through AI, conversational agents, and secure architectures for 5G-enabled healthcare ecosystems. 

Ideal for researchers and postgraduate students in AI, computer vision, and related fields, this book provides modern techniques, tools, and case studies for practical implementation. As AI continues to redefine healthcare boundaries, this volume inspires responsible innovation and collaborative progress, encouraging readers to engage critically and contribute to ethical AI deployment in healthcare.

This book offers a comprehensive exploration of artificial intelligence's transformative impact on the healthcare sector as it relates to SDG #3: Good Health and Well-Being, highlighting its potential to revolutionize traditional practices. It delves into the integration of AI across various facets of healthcare, from data collection and processing to diagnostic algorithms and predictive analytics. Designed as an essential resource, it serves researchers, clinicians, technologists, and policymakers eager to harness AI to improve patient outcomes and system efficiency. 

The chapters present a diverse array of AI applications, bridging foundational research with cutting-edge innovations. Readers will encounter intelligent frameworks for healthcare data, multimodal disease analysis techniques, and advanced clinical decision support systems. The volume also explores transformative technologies like augmented reality for patient care, AI-powered prosthetics, and IoT-enabled real-time monitoring. Emphasizing patient-centric advancements, it discusses personalized care through AI, conversational agents, and secure architectures for 5G-enabled healthcare ecosystems. 

Ideal for researchers and postgraduate students in AI, computer vision, and related fields, this book provides modern techniques, tools, and case studies for practical implementation. As AI continues to redefine healthcare boundaries, this volume inspires responsible innovation and collaborative progress, encouraging readers to engage critically and contribute to ethical AI deployment in healthcare.