The integration of Augmented Reality (AR) and Virtual Reality (VR) with Artificial Intelligence (AI) has immense potential to have beneficial effects for institutions of healthcare and medical education. However, this integration has become so complex, it presents numerous challenges across various domains. Researchers and practitioners often need help to keep pace with the rapid advancements of technologies and applications. Issues such as privacy, security, scalability, and optimization of AR/VR setups remain critical concerns for healthcare industry professionals and academics alike. There needs to be a comprehensive resource that addresses these challenges, if we expect the field to grow in an effective and responsible manner. Modern Technology in Healthcare and Medical Education: Blockchain, IoT, AR, and VR offers a solution to these challenges. By providing insights from researchers and experts in the field, this book serves as a valuable reference for addressing real-world problems. This book is a must-have resource for doctoral and post-doctoral researchers, undergraduate and postgraduate students, industry professionals, and government agencies working in AR/VR. It provides a roadmap for future research and development in this rapidly evolving field. It covers a wide range of topics, including enhancements in AR/VR, AI integration, task-specific training, and applications in healthcare and education.

Engineers have long been architects of progress, erecting massive buildings that touch the skies and designing technologies that redefine realms of known possibility. In this era of rapid change, keeping pace with innovation is the main challenge. Emerging Engineering Technologies and Industrial Applications is a comprehensive research book that delves deep into the heart of a relentless technological revolution within modern industry. From the limitless potential of the Internet of Things (IoT) to the cognitive wonders of Artificial Intelligence (AI), from the microscopic marvels of Nanotechnology to the precision and agility of Robotics, and from the revolutionary advancements in 3D Printing to the transformative capabilities of blockchain, this book explores emerging technologies. This book is an indispensable resource for professionals and researchers working in the field of emerging engineering technologies and their industrial applications. It caters to a diverse range of disciplines, including computer science and information technology, environmental, agricultural, and physical sciences, medical, healthcare, and life sciences, as well as science and engineering, and anyone seeking to navigate the current technological progress in the 21st century.

A chasm grows between the currently established knowledge and the rapidly evolving landscape of healthcare. As the field of biomedical research hurtles forward with groundbreaking discoveries and transformative technologies, academic scholars find themselves grappling with a significant dilemma. There exists a disconnect between traditional educational resources and the need to keep pace with the latest innovations that are reshaping medicine, diagnosis, and treatment. This widening gap inhibits scholars from adequately preparing their students and hampers their ability to engage in relevant, cutting-edge research, ultimately impeding the advancement of healthcare as a whole. Biomedical Research Developments for Improved Healthcare serves as the ultimate solution to this academic challenge. This book offers a compelling bridge between the realm of academic theory and the dynamic world of practical, real-world biomedical research. Its primary objective is to equip scholars with the knowledge, insights, and materials needed to inspire the next generation of healthcare professionals. By presenting a comprehensive overview of the most recent and groundbreaking advancements in biomedical research, the book enables scholars to transcend the limitations of traditional academia and empower their students with up-to-date, practical knowledge.

In the wake of the digital healthcare revolution, a critical challenge has emerged: the lack of a comprehensive understanding stemming from fragmented research. Despite the industry's meteoric rise, existing literature often compartmentalizes insights, neglecting the intricate multi-sector collaborations that fuel its progress. This gap hinders scholars and industry professionals, leaving them with a myopic view of the digital healthcare landscape. The urgent need for a holistic exploration has never been more apparent. Multi-Sector Analysis of the Digital Healthcare Industry is a groundbreaking book that will uncover the complexities of digital healthcare with a panoramic lens. This carefully curated collection of cross-functional chapters is a beacon guiding academics and industry specialists through the difficulties of the industry's past, present, and future. With experts from fields spanning medicine, technology, business, and regulatory sectors, this book addresses the limitations of current research but serves as a compass for those seeking a more profound comprehension of digital healthcare's collaborative dynamics.

The COVID-19 pandemic clearly shows the vital role of accurate and reliable information in public health. Health literacy addresses not only patient needs but also the needs of the general population, who must not only comply with advice and instructions but also understand the severity of health crises and respond accordingly. A variety of crises imposed on healthcare systems constantly arise ranging from pandemics to natural catastrophes, terrorist attacks, and outbreaks of illnesses. In addition, there are crises within the healthcare systems, such as a lack of resources and an appropriate workforce. Crises in healthcare systems that are not efficiently dealt with may result in inefficiencies and inequalities in health provision. The Role of Health Literacy in Major Healthcare Crises examines the role of health literacy not only in informing the public but also in building a culture of cooperation between the healthcare systems and their users. The book also investigates the role of communication strategies and educational activities of multiple agencies at local, national, and global levels and explores ethical issues associated with healthcare crises and how they are negotiated in health campaigns. Covering key topics such as digital media, health information, and e-health, this premier reference source is ideal for healthcare professionals, nurses, policymakers, researchers, scholars, academicians, practitioners, instructors, and students.

Experts in Medicine are under new pressures of advancing their studies while also reducing the impact they leave on the environment. Researchers within the fields of bio-neuro informatics, healthcare, engineering, and medical sciences require a dynamic platform that bridges the realms of academia, science, industry, and innovation. Green AI-Powered Intelligent Systems for Disease Prognosis facilitates a crossroads for a diverse audience interested in these two seldom coalesced concepts. Academicians, scientists, researchers, professionals, decision-makers, and even aspiring scholars all find a space to contribute, collaborate, and learn within the platform that this book provides. The book's thematic coverage is unequivocally compelling; by exploring the intersections of bio-neuro informatics, healthcare, engineering, and medical sciences, it captures the spirit of interdisciplinary research. It delves into well-established domains while also casting a spotlight on emerging trends that have the potential to reshape our understanding of these fields. Two prominent tracks form the backbone of the book's content. The first covers the Bioinformatics and Data Mining of Biological Data (BiDMBD), and unravels the intricacies of biomedical computation, signal analysis, clinical decision support, and health data mining. This approach holds a treasure trove of insights into the mechanisms of health data acquisition, clinical informatics, and the representation of healthcare knowledge. The second covers Biomedical Informatics and is a symposium of computational modeling, genomics, and proteomics. Here, the fusion of data science with medical sciences takes center stage.

Health professionals grapple with a critical challenge: the traditional Continuous Medical Education (CME) model falls short of fostering the unique skills and self-directed learning required for a dynamic career. As medical practitioners navigate a world of new epidemiological models, technologies, and strategies, the need for a transformative solution becomes evident. The Lifelong Learning Journey of Health Professionals: Continuing Education and Professional Development is a book that not only identifies the limitations of existing education models but also provides a comprehensive solution for ushering in a new era of lifelong learning. This compelling book advocates for a paradigm shift towards Continuous Professional Development (CPD), a contemporary concept that embraces non-traditional learning formats. It dismantles the inadequacies of credit-based training by emphasizing the importance of self-direction and self-assessment for adult learners. From core principles for designing a robust CPD system to exploring successful models, alternative credentials, and the role of learning communities, the book offers a holistic approach to reshaping medical education.

The rise of modern antimicrobial drug resistance has evolved into a pressing global health crisis, challenging the very foundation of our ability to combat infectious diseases. The overuse and accessibility of antibiotics, particularly in emerging nations, have given rise to resilient "superbugs," rendering common medications ineffective. This escalating challenge poses a significant threat to public health and leads to heightened healthcare costs, prolonged patient stays, and increased mortality rates. As communities grapple with the urgent need for a coordinated response, a comprehensive understanding of antimicrobial drug resistance and innovative strategies becomes paramount. Frontiers in Combating Antibacterial Resistance: Current Perspectives and Future Horizons is meticulously crafted for academic scholars, researchers, and healthcare professionals. It addresses this critical issue head-on and serves as a beacon of knowledge and a solution-oriented guide. With a focus on elucidating the mechanisms behind antimicrobial drug resistance and exploring emerging therapeutic targets, the book presents an in-depth analysis of the problem. It spans environmental, genetic, and climatic factors influencing resistance, delving into cutting-edge technologies and sustainable strategies for prevention. By offering a holistic view of the issue and proposing evidence-based solutions, the book is an indispensable resource for those seeking to navigate the complex landscape of antimicrobial drug resistance.

Academic scholars and professionals are currently grappling with hurdles in optimizing diagnostic processes, as traditional methodologies prove insufficient in managing the intricate and voluminous nature of medical data. The diverse range of imaging techniques, spanning from endoscopy to magnetic resonance imaging, necessitates a more unified and efficient approach. This complexity has created a pressing need for streamlined methodologies and innovative solutions. Academic scholars find themselves at the forefront of addressing these challenges, seeking ways to leverage AI's full potential in improving the accuracy of medical imaging diagnostics and, consequently, enhancing overall patient outcomes. Future of AI in Medical Imaging, stands as a solution to the challenges faced by academic scholars in the realm of medical imaging. The book lays a solid groundwork for understanding the complexities of medical imaging systems. Through an exploration of various imaging modalities, it not only addresses the current issues but also serves as a guide for scholars to navigate the landscape of AI-integrated medical diagnostics. This collaborative effort not only illuminates the existing hurdles of medical imaging but also looks towards a future where AI-driven diagnostics and personalized medicine become indispensable tools, significantly elevating patient outcomes.