Geriatric Dentistry in the Age of Digital Technology is a comprehensive guide that addresses the crucial role of dental professionals in providing specialized care for aging patients in today's digital era. As the world's population continues to age, it is imperative to prioritize the health promotion, prevention, and recovery of older individuals, especially concerning their oral health. Drawing upon relevant theoretical frameworks and the latest empirical research, this book offers invaluable insights for professionals seeking to enhance their understanding of Geriatric Dentistry and Gerodontology, as well as their application within the international context of digital transformation. Whether you are a dentist, dental student, researcher, or involved in the management of elderly dental care, this book provides a comprehensive exploration of the discipline's key topics. Delving into a range of subjects, the book covers essential areas such as the integration of Geriatrics and Gerontology into dental training, teaching methodologies for Geriatric Dentistry and Gerodontology, prevalent systemic diseases among the elderly, oral conditions commonly observed in this population, changes in the oral cavity during aging, and holistic dental care for geriatric patients in the digital age. Additionally, the book explores the dynamic relationship between oral health and the quality of life of older individuals, strategies for health promotion and disease prevention, salutogenic marketing approaches, and the challenges faced in providing dental care for elderly patients, including physical, psychosocial, and geographical barriers.

Even in the modern age, oral diseases have a substantial and negative impact on citizens all over the globe. Oral diseases affect nearly half of the global population and represent a significant economic and health burden. As a result, the promotion of oral health and disease prevention information has emerged as one of the most cost-effective strategies in limiting these maladies and treating them should they occur. Leveraging Digital Technology for Preventive Dentistry provides relevant theoretical frameworks and the latest empirical research findings in the area. It discusses the latest findings in digital technologies for health promotion and oral disease promotion, as well as the behavior of these health actions in the international context. Covering topics such as ethical and legal aspects, preventive dentistry, and biometric studies, this book is an excellent resource for librarians, dentists, dental students and educators, researchers, academicians, and more.

Within the healthcare sector, a pressing need for transformative changes is growing. From chronic diseases to complex diagnostic procedures, the industry stands at the crossroads of technological innovation and a burgeoning demand for more efficient, precise interventions. Patient expectations are soaring, and the deluge of medical data is overwhelming traditional healthcare systems. It is within this challenging environment that AI-Driven Innovations in Digital Healthcare: Emerging Trends, Challenges, and Applications emerges as a beacon of insight and practical solutions. The traditional healthcare framework is struggling to keep pace with the diverse demands of patients and the ever-expanding volume of medical data. As diseases become more intricate, attempts to provide timely identification and precise treatment of ailments become increasingly elusive. The urgency for a paradigm shift in healthcare delivery is emphasized by the critical need for early interventions, particularly in disease prediction. This challenge necessitates a holistic approach that harnesses the power of artificial intelligence (AI) and innovative technologies to steer healthcare toward a more responsive and patient-centric future.

Academic scholars face the daunting challenge of keeping pace with the rapid evolution of innovative technologies. The emergence of AI-driven solutions, deep learning frameworks, and medical robotics introduces a complex terrain, demanding in-depth understanding and analysis. As scholars navigate the intricacies of patient hate speech detection, cardiovascular diseases AI-CDSS, and the revolution in medical diagnostics, a pressing need arises for comprehensive insights that bridge the gap between theoretical knowledge and practical applications. Driving Smart Medical Diagnosis Through AI-Powered Technologies and Applications serves as a solution in this era of transformative healthcare and addresses these challenges head-on. It unravels the complexities surrounding the implementation of AI in healthcare, offering in-depth discussions on the latest breakthroughs. From unraveling the mysteries of AI-driven cataract detection to exploring the implications of decentralized mammography classification, the book is a valuable resource that equips scholars with the knowledge to navigate this innovative landscape.

While ultra-high field strength diagnosis technologies and artificial intelligence have propelled medicine imaging towards microstructure analysis and precise medicine, persistent challenges remain. These range from long scanning times to motion sensitivity and issues with imaging quality for certain types of tissue. Medical Robotics and AI-Assisted Diagnostics for a High-Tech Healthcare Industry summarizes emerging techniques, outlines clinical applications, and confronts the challenges head-on, proposing avenues for further research. It explores emerging techniques such as human-like robotics, medical Internet of Things (IoT), low-cost CT scanners, portable MRI devices, and breakthroughs in diagnosis technologies like zero echo time (ZTM) and compressed sensing volume interpolation breath-holding test sequences (CS-VIBE). This book provides an overview of the current state of medical imaging and clinical diagnosis applications, then expands into a roadmap for the future, envisioning the seamless integration of medical robotics and AI-assisted applications in the high-tech healthcare industry. As the influence of artificial intelligence continues to grow, the book serves as a clarion call for collaborative efforts, increased research, and unified strategies to navigate the challenges and harness the opportunities presented by the high-tech medical industry. This book is ideal for medical analysts, healthcare scientists, biotechnology analysts, scholars, researchers, academics, professionals, engineers, and students worldwide.

In a world grappling with the relentless impact of cancer, claiming nearly 10 million lives in 2020 alone, the pursuit of effective prevention and treatment methods is more crucial than ever. Harnessing Medicinal Plants in Cancer Prevention and Treatment delves into promising medicinal plants, exploring their potential in the prevention and treatment of various types of cancer. Acknowledging the limitations and risks associated with synthetic medicines, the book emphasizes the significance of traditional medicine, revealing that approximately 80% of the global population relies on plant-based remedies for primary health care. Within these pages, readers will find a comprehensive exploration of diverse medicinal plants and their active compounds, unraveling their mode of action against cancer. The content spans continents, from the phytochemical and biological properties of anticancer medicinal plants in India to the role of Chinese and Thai plants in cancer prevention and treatment. Each chapter meticulously examines specific plants or compounds, such as the renowned Curcuma longa, or the intriguing Momordica charantia, providing an in-depth analysis of their anticancer properties. This book elucidates the multifaceted role of plant-derived compounds in various cancer types, addressing their efficacy and safety profiles. The book is rich with insights into the potential of bioactive compounds to serve as lead candidates in drug discovery, highlighting the importance of plants in developing effective anticancer agents. This book is an invaluable resource for a diverse audience, including biotechnologists, plant biologists, pharmacologists, and cancer-related researchers.

Within the context of global health challenges posed by intractable neurodegenerative diseases like Alzheimer's and Parkinson's, the significance of early diagnosis is critical for effective intervention, and scientists continue to discover new methods of detection. However, actual diagnosis goes beyond detection to include a significant analysis of combined data for many cases, which presents a challenge of several complicated calculations. Deep Learning Approaches for Early Diagnosis of Neurodegenerative Diseases stands as a groundbreaking work at the intersection of artificial intelligence and neuroscience. The book orchestrates a symphony of cutting-edge techniques and progressions in early detection by assembling eminent experts from the domains of deep learning and neurology. Through a harmonious blend of research areas and pragmatic applications, this monumental work charts the transformative course to revolutionize the landscape of early diagnosis and management of neurodegenerative disorders. Within the pages, readers will embark through the intricate landscape of neurodegenerative diseases, the fundamental underpinnings of deep learning, the nuances of neuroimaging data acquisition and preprocessing, the alchemy of feature extraction and representation learning, and the symphony of deep learning models tailored for neurodegenerative disease diagnosis. The book also delves into integrating multimodal data to augment diagnosis, the imperative of rigorously evaluating and validating deep learning models, and the ethical considerations and challenges entwined with deep learning for neurodegenerative diseases.

Cutting-Edge Applications of Nanomaterials in Biomedical Sciences is a comprehensive exploration of the revolutionary impact of nanotechnology on the field of medicine. This book delves into the remarkable potential of nanomaterials in advancing medical diagnostics and therapeutics, particularly in drug delivery. It serves as an indispensable guide, presenting the latest developments in nanomedicine, precision medicine, and nanoengineering while addressing the challenges and opportunities that arise. The book covers a wide range of topics, from nanomaterials for cancer therapy to their applications in imaging and diagnostics. It discusses the transformative role of nanomaterials in targeted delivery and controlled release, as well as their potential in regenerative medicine and infectious disease diagnosis and treatment. By presenting cutting-edge research and developments in the field, this book aims to bridge the gap between bench and bedside, providing a vital resource for researchers, clinicians, and students in the biomedical sciences. Moreover, it highlights the commercialization potential of nanomedicine, fostering collaboration between academia and industry. Policymakers and regulators will also find this book invaluable for understanding the ethical and safety implications of incorporating nanomaterials into medical practices.

Geriatric Dentistry: Caring for Our Aging Population provides general practitioners, dental students, and auxiliary members of the dental team with a comprehensive, practical guide to oral healthcare for the aging population. Beginning with fundamental chapters on the psychological, environmental, and social aspects of aging, the book approaches patient care from a holistic point of view. Subsequent chapters show the importance of this information in a practical context by discussing how it affects office environment, decision?-making and treatment planning, and the management and treatment of common geriatric oral conditions. Case studies and study questions are used to illustrate application of educational presentations to practice settings. Contributed by leaders in the field, Geriatric Dentistry will strengthen readers’ understanding and clinical acumen in addressing this special population.

Progress in information technology has fostered a global explosion of data generation. Accumulated big data are now estimated to be 4.4 zettabytes in the digital universe; and trends predict an exponential increase in the future. Health data are gathered from professional routine care and other expanded sources including the social determinants of health, such as Internet of Things. Biomedical research has recently moved through three stages in digital healthcare: (1) data collection; (2) data sharing; and (3) data analytics. With the explosion of stored health data, dental medicine is edging into its fourth stage of digitization using new technologies including augmented and virtual reality, artificial intelligence, and blockchain. Big data collaborations involve interactions between a diverse range of stakeholders with analytical, technical and political focus. In oral healthcare, data technology has many areas of application: prognostic analysis and predictive modeling, the identification of unknown correlations of diseases, clinical decision support for novel treatment concepts, public health surveys and population-based clinical research, as well as the evaluation of healthcare systems. The objective of this Special Issue is to provide an update on the current knowledge with state-of-the-art theory and practical information on human and social perspectives that determine the uptake of technological innovations in big data science in the field of dental medicine. Moreover, it will focus on the identification of future research needs to manage the continuous increase in health data and to accomplish its clinical translation for patient-centered research and personalized dentistry. This Special Issue welcomes all types of studies and reviews considering the perspectives of different stakeholders on technological innovations for big data science in all dental disciplines. Kind regards,