Preface

The book on Smart Healthcare: Leveraging AI and Cloud Technologies for Enhanced Medical Solutions have new research findings in healthcare by using different computing paradigm specifically AI and cloud technologies. The healthcare industry is on the brink of a digital revolution, driven by the synergistic power of artificial intelligence (AI) and cloud computing. These technologies promise to transform every facet of healthcare delivery, from diagnostics and treatment planning to patient monitoring and administrative efficiency. This edited book, "Smart Healthcare: Leveraging AI and Cloud Technologies for Enhanced Medical Solutions," aims to serve as a comprehensive guide and a valuable resource for healthcare professionals, IT specialists, policymakers, and academics. By compiling the latest research and insights from leading experts in the field, this book will provide a detailed exploration of the advancements, practical applications, and future possibilities of AI and cloud computing in healthcare.

This book introduces the profound impact of AI and cloud computing on the healthcare industry, emphasizing their role in revolutionizing diagnostics, treatment planning, and data management. The book brings together contributions from leading experts to provide comprehensive insights into current innovations, practical applications, and future trends. Starting with an overview of the technological landscape, the book explores AI advancements like machine learning and computer vision, and the transformative power of cloud computing. It includes detailed case studies and real-world examples demonstrating how these technologies enhance patient care and operational efficiency. Acknowledging challenges such as data privacy, security, and regulatory compliance, the book offers practical solutions and strategies. It also looks ahead to emerging technologies like edge computing, blockchain, and advanced robotics, discussing their potential impact on healthcare.

A key strength of the book is its practical guidance for healthcare professionals, IT specialists, and policymakers, providing actionable insights for adopting AI and cloud solutions. The editors aim to inspire and inform stakeholders, contributing to the digital transformation of healthcare. In summary, the book is a comprehensive, accessible guide to understanding and leveraging AI and cloud computing in healthcare, offering a roadmap for the future of healthcare innovation. The content of this book is organized as follows:

The chapter 1 examines historical development and applications for AI in health care, as well perceived difficulties, and future trends still to come. The main objective is to investigate in depth and systemically combine AI with two disciplines characteristic of medicinal thought: remote patient monitoring and telehealth. It aims to demonstrate how AI can make health care services more effective and efficient, changing the face of healthcare completely. In this study, different datasets were collected from various sources, such as medical databases, public health repositories, wearables, and simulated patient data. AI algorithms, which include traditional machine learning as well as deep learning models were used for data analysis.

Chapter 2 covers natural language processing for clinical data interpretation. Natural Language Processing (NLP) transforms medical data reading by improving the context of unstructured text. In this chapter, we delve into the capability of NLP techniques such as tokenization, named entity recognition and deep learning models like LSTMs and Transformers in dealing with clinical data like electronic health records and discharge summaries. By first emphasizing work in zero-shot learning, self-supervised learning and multilingual data processing, this chapter illustrates the necessity to enhance NLP for better patient care and clinical decision making.

Chapter 3 focuses on blockchain technology for secure health data management. To address the key performance issues related to transaction throughput, data integrity and energy consumption blockchain technology is used in health data management. The simulations here suggest that blockchain does indeed contribute to overall data security and interoperability, albeit with some cost in increased latency and energy requirements as well as scalability. Blockchain performs well in terms of health data management and security; however, it needs to be optimized for capacity on larger datasets under heavy network load. This research shows that better and more sustainable solutions in blockchain performance, especially during emergency situations are greatly needed. The results illustrate the benefit of blockchain to revolutionize healthcare data management but also provide insights into key areas that need more work.

Chapter 4 focuses on ensuring water resilience in smart hospitals focusing the role of AI in crisis management and resource optimization. Water resilience plays a critical role in ensuring uninterruptible function in modern hospitals. Disturbance to the supply of this precious material creates robust issues in care and patient safety. This chapter explores how AI with IoT-based solutions can be applied to enhance water management further for sustainability and reliability of supply in smart hospitals to solve or even prevent water crises that could generate irreparable damages to the patients. With modern AI-powered IoT, monitoring and supply of quality water in real-time, predictive maintenance, and demand forecasts are not only possible but highly used on a global scale.

Chapter 5 covers future trends by using AI and cloud innovations in healthcare. Amalgamation of AI & cloud computing to bring a big relevant change in healthcare, where they are helping the doctor by examine huge data of medical discipline, this means with the help of these emerging technologies experts can easily diagnose the disease in early stage, provide better personalised cure plans, speed up the treatment and the discovery of new drugs. Cloud computing is dedicated to keep the track of data securely with accuracy while sharing with others. But here it is important to focus some issues like algorithm selection, authenticity, integrity and security of data of the patients. Despite these concerns, AI and cloud machinery can really boost up healthcare and restructuring a better future with more proactive and personalised care for healthy population.

The latest advances in the field of health are highly driven by AI and cloud technologies are presented in this book. On behalf of the editors, we would like to offer our appreciation to everyone who took part in the preparation of this project. Most importantly the authors, whose outstanding work is at the core of the book, and we gratefully congratulate all those who contributed to this book in any possible way and wish them great success. We would like to take this time to thank our family and friends for their support and encouragement while we worked on this book. We would like to express our gratitude to the writers for their contributions to this edited book. We would also like to thank Bentham Science Publishers and its whole team for facilitating the work and providing us the opportunity to be a part of this work.