Metaverse Applications For Intelligent Healthcare

Metaverse Applications for Intelligent Healthcare explores the exciting intersection of artificial intelligence (AI) and the metaverse in the field of healthcare. The use of AI technology in healthcare has already shown great potential in assisting with diagnosis, treatment, and patient care. The metaverse, with its immersive virtual environments, has the potential to revolutionize healthcare by making it more accessible, efficient, and personalized. This book introduces various applications of the metaverse in healthcare, including virtual consultations, remote patient monitoring, and virtual rehabilitation. The book discusses how the metaverse can be used to provide immersive experiences that empower patients and providers, while also offering unique learning opportunities. The book is ideal for researchers, practitioners, healthcare professionals, scholars, and students who are interested in exploring the cutting-edge technology of AI and the metaverse in healthcare. It offers insights into the future of healthcare, and how these technologies can be used to provide better care to patients. By combining the latest research in AI and the metaverse, this book provides a comprehensive overview of the potential applications of these technologies in healthcare.

This book focuses on game theory approaches utilized on various domains viz., IoT, blockchain and their applications to biomedical and healthcare services. The book bridges the gap between radiologists and Artificial Intelligence (AI)-driven automated systems by investigating various techniques such as game theoretic approach, blockchain technology basically utilized for security, and IoT applied on metaverse. Healthcare Services in the Metaverse: Game Theory, AI, IoT, and Blockchain, identifies the potential areas where game theory and block chain techniques can be harnessed in the metaverse. The book discusses the integration of virtual reality (VR) with augmented reality to identify the new emerging techniques in healthcare to metaverse, where doctors and/or patients can see any kind of operation in the VR metaverse. The authors use game theoretical and blockchain approaches to understand healthcare issues, with the aim of utilizing different technologies of metaverse platform for health informatics. This book is written to help healthcare practitioners and individuals across academia and research, as well as for those who work in biomedical, Internet of Things (IoT), Artificial Intelligence (AI), metaverse, VR, blockchain, and related technologies.

As smart cities become more prevalent, the need for explainable AI (XAI) applications has become increasingly important. Advances in Explainable AI Applications for Smart Cities is a co-edited book that showcases the latest research and development in XAI for smart city applications. This book covers a wide range of topics, including medical diagnosis, finance and banking, judicial systems, military training, manufacturing industries, autonomous vehicles, insurance claim management, and cybersecurity solutions. Through its diverse case studies and research, this book provides valuable insights into the importance of XAI in smart city applications. This book is an essential resource for undergraduate and postgraduate students, researchers, academicians, industry professionals, and scientists working in research laboratories. It provides a comprehensive overview of XAI concepts, advantages over AI, and its applications in smart city development. By showcasing the impact of XAI on various smart city applications, the book enables readers to understand the importance of XAI in creating more sustainable and efficient smart cities. Additionally, the book addresses the open challenges and research issues related to XAI in modern smart cities, providing a roadmap for future research in this field. Overall, this book is a valuable resource for anyone interested in understanding the importance of XAI in smart city applications.

In recent years, the application of Artificial Intelligence (AI) and Internet of Things (IoT) technologies in smart healthcare has been increasing. We are approaching a world where connected smart devices tell people when they need to visit a doctor because these devices will be able to detect health problems and discover symptoms of illness that may need medical care. AI-collaborative IoT technologies can help medical professionals with decision-making. These technologies can also help develop a sustainable and smart healthcare system. AI and IoT Technology and Applications for Smart Healthcare Systems helps readers understand complex scientific topics in a simple and accessible way. It introduces the world of AI-collaborative IoT physics, explaining how this technology behaves at the smallest level and how this can revolutionize healthcare. The book shows how IoT technology and AI can work together to make computers more powerful and capable of solving complex problems in the healthcare sector. Exploring the effect of AI-collaborative technology on IoT technologies, the book discusses how IoT can benefit from AI algorithms to enable machines to learn, make decisions, and process information more efficiently. Because smart machines create more perceptive devices and systems, the application of this technology raises important ethical questions about privacy, security, and the responsible development of healthcare IoT technology, which this book covers. The book also provides insight into the potential applications of these technologies not only in the healthcare industry but also in related fields, such as smart transportation, smart manufacturing, and smart cities.

This book delves into the transformative potential of the Metaverse in the healthcare industry, addressing the challenges and opportunities presented by diverse biomedical data and digital healthcare solutions. The book explores how the convergence of technologies like Artificial Intelligence, Augmented Reality, and Virtual Reality can revolutionize healthcare delivery, enhancing patient outcomes and medical education. Chapters cover topics such as the fundamentals of the Metaverse in healthcare, intelligent healthcare systems architecture, ethical considerations, and the integration of IoT devices. Case studies and real-world applications showcase the Metaverse's role in disease prevention, mental health treatment, medical education, and elderly care, offering valuable insights for researchers, practitioners, and professionals in AI, digital health, and healthcare informatics. Designed as a comprehensive reference for academia, research institutions, and healthcare organizations, the book aims to guide the ethical integration of Metaverse technologies into the healthcare ecosystem to unlock their full potential while ensuring patient privacy and security.

The book "Digital Transformation in Healthcare 5.0: Metaverse, Nanorobots, and Machine Learning" is a comprehensive discussion of disruptive technologies and their applications in healthcare. The book starts with an overview of blockchain technology's impact on the healthcare sector, emphasizing its potential to improve data security and interoperability. The book also discusses the Metaverse's role in healthcare transformation, utilizing a blockchain method to improve patient care and medical practices. The book also focuses on the interrelationships of Blockchain-Enabled Metaverse Healthcare Systems and Applications, highlighting innovative strategies. It also introduces an Intraocular Pressure Monitoring System for Glaucoma Patients, demonstrating the integration of IoT and Machine Learning for improved care. The book winds up with a Machine Learning Approach to Voice Analysis in Parkinson's disease Diagnosis, demonstrating the potential of voice analysis as a non-invasive diagnostic tool.

Cybersecurity Issues and Challenges in the Drone Industry is a comprehensive exploration of the critical cybersecurity problems faced by the rapidly expanding drone industry. With the widespread adoption of drones in military, commercial, and recreational sectors, the need to address cybersecurity concerns has become increasingly urgent. In this book, cybersecurity specialists collaborate to present a multifaceted approach to tackling the unique challenges posed by drones. They delve into essential topics such as establishing robust encryption and authentication systems, conducting regular vulnerability assessments, enhancing software security, advocating industry-wide standards and best practices, and educating drone users about the inherent cybersecurity risks. As drones, or unmanned aerial vehicles (UAVs), gain popularity and are deployed for various applications, ranging from aerial photography and surveillance to delivery services and infrastructure inspections, this book emphasizes the criticality of safeguarding the security, integrity, and privacy of drone systems and the data they handle. It highlights the growing vulnerability of drones to cybersecurity threats as these devices become increasingly connected and integrated into our everyday lives. This book is an invaluable resource for drone manufacturers, government agencies, regulators, cybersecurity professionals, and academia and research institutions invested in understanding and mitigating the cybersecurity risks in the drone industry.

"This book covers the application of game theory, IoT and metaverse related to biomedical and healthcare applications, The book bridges the gap between radiologists and Artificial Intelligence (AI)-driven automated systems by investigating various techniques with a game theoretic approach. The book is written to help individuals across the academia, research, and healthcare practitioners as well as for those who work in biomedical, healthcare, IoT, artificial intelligence, metaverse, virtual reality, blockchain and related technologies"--