Preface

Artificial Intelligence (AI) and Machine Learning (ML) are revolutionizing the way healthcare systems are designed, delivered, and sustained. The fusion of data-driven intelligence, advanced computing, and connected technologies has opened new frontiers in medical diagnosis, patient monitoring, drug discovery, and clinical decision support. This first volume, “Transforming Healthcare with Revolutionary AI & ML,” serves as a comprehensive exploration of how these technologies are reshaping the global healthcare ecosystem through innovation, efficiency, and personalization.

The healthcare domain, once limited by fragmented data and reactive care models, is now evolving into a dynamic, predictive, and intelligent environment powered by AI and ML. The chapters in this volume provide a detailed view of this transformation covering intelligent diagnostic tools, predictive analytics for early disease detection, wearable sensor data analysis, AI-assisted radiology and pathology, and the integration of federated and privacy-preserving learning models for secure clinical data sharing. The discussion also extends to the ethical, regulatory, and sustainability aspects of AI-driven healthcare solutions, emphasizing responsible innovation for long-term impact.

This volume brings together contributions from researchers, clinicians, and technologists who are pioneering interdisciplinary applications of AI and ML. Their collective insights not only highlight current trends but also chart the course for future developments in connected health, clinical informatics, and autonomous medical systems.

As part of the broader three-volume series, this book lays the foundation for understanding how applied artificial intelligence intersects with data science, cloud computing, and IoT frameworks to create intelligent, adaptive, and resilient systems. While this first volume focuses on the healthcare revolution, the subsequent volumes will expand into other critical sectors such as smart industry, sustainable agriculture, cybersecurity, and environmental intelligence, reflecting the holistic role of AI in shaping the intelligent systems of the future.

It is our hope that this volume will serve as a valuable resource for academicians, researchers, practitioners, and students who aspire to harness the potential of AI and ML to advance healthcare innovation. By bridging scientific theory with real-world applications, this work underscores the transformative power of intelligent technologies in improving human well-being and global health outcomes.