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This book presents the latest developments in deep learning-enabled healthcare tools and technologies and offers practical ideas for using the IoT with deep learning (motion-based object data) to deal with human dynamics and challenges including critical application domains, technologies, medical imaging, drug discovery, insurance fraud detection and solutions to handle relevant challenges. This book covers real-time healthcare applications, novel solutions, current open challenges, and the future of deep learning for next-generation healthcare. It includes detailed analysis of the utilization of the IoT with deep learning and its underlying technologies in critical application areas of emergency departments such as drug discovery, medical imaging, fraud detection, Alzheimer's disease, and genomes. Presents practical approaches of using the IoT with deep learning vision and how it deals with human dynamics Offers novel solution for medical imaging including skin lesion detection, cancer detection, enhancement techniques for MRI images, automated disease prediction, fraud detection, genomes, and many more Includes the latest technological advances in the IoT and deep learning with their implementations in healthcare Combines deep learning and analysis in the unified framework to understand both IoT and deep learning applications Covers the challenging issues related to data collection by sensors, detection and tracking of moving objects and solutions to handle relevant challenges Postgraduate students and researchers in the departments of computer science, working in the areas of the IoT, deep learning, machine learning, image processing, big data, cloud computing, and remote sensing will find this book useful.

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.

Dieses Buch richtet sich an Lehrende und Lernende aus den Gesundheitsberufen und zeigt die vielfältigen Chancen digitaler Technologien und Strategien für den Lehr- und Lernprozess. Durch den passenden Einsatz digitaler Formate werden Methoden gezielt weiterentwickelt und die Qualität der Lehre gesteigert. Welche Methoden und Formate gibt es und für welche Lernsituationen eignen sie sich konkret? Welche Möglichkeiten bieten sie für die Umsetzung und Unterrichtsgestaltung? Wie erzielen die Studierenden im digitalen Lernkontext Lernerfolge? Digitale Kompetenzen und deren didaktische Dimensionen sowie Aufbaumöglichkeiten werden explizit im Buch beschrieben und anwendungsnah aufbereitet.

In this book, the role of Artificial Intelligence (AI), Internet of Things (IoT) and Blockchain in smart healthcare is explained through a detailed study of Artificial Neural Network, Fuzzy Set Theory, Intuitionistic Fuzzy Set, Machine Learning and Big Data technology.Industry 5.0 for Smart Healthcare Technologies: Utilizing Artificial Intelligence, Internet of Medical Things and Blockchain focuses on interesting applications of AI, promising advancements in IoT and important findings in Blockchain technology. When applied to smart healthcare technologies, Industry 5.0 offers numerous benefits that can revolutionize the healthcare industry. This book provides readers with insights and tools for enhanced patient care, remote patient monitoring, predictive analytics and early intervention of diseases, seamless data sharing and interoperability, telemedicine and virtual care, and a safer and more secure healthcare ecosystem. The authors examine novel computational algorithms for the processing of medical images, as well as novel algorithms for the processing of biosignals in detection of diseases. This book also explores systems for processing physiological parameters and discusses applications of AI techniques in the broader healthcare industry. The authors also investigate the importance of Augment Reality/Virtual Relatity (AR/VR) in the healthcare sector and examine the futuristic applications of Industry 5.0 in the healthcare sector.This book is intended for researchers and professionals working in interdisciplinary fields of computer engineering/science and healthcare. It will provide them with the tools to enhance diagnostics, optimize treatment plans, and empower patients to actively participate in their healthcare journey.

The aim of this book is to assess the impact and effect of IoT in biomedical and telemedicine domain. This book features diverse research in the field of IoMT. It can act as a knowledge sharing resource for academicians, professionals and even beginners to get an idea about this area. The primary subject of this edited book is healthcare and medicine. It is a crucial area of research and it has a very positive effect on the quality of human life. It can certainly be called as one of the most important areas of research given the present scenario. Key Features: Presents a comprehensive overview of the current state of research in IoT based devices in the biomedical domain Covers IoT based biomedical devices for diagnosis and prognosis of different diseases Present impact analysis of IoMT devices with different case studies Design and simulation examples, issues and challenges will be covered

Recent Advancement of IoT Devices in Pollution Control and Health Applications covers current developments in Internet of Things (IoT)-based pollution control, solid waste management, transportation, and healthcare systems. Because of its effects on physical and biological entities of the environment, the issue of environmental pollution and action has become a global concern. This guide highlights how environmental and health data from connected devices can be stored, analyzed, and eventually used—from developing indices for the state of environmental pollution, to diagnosing and treating patients and the role of IoT-based technology for pollution control. - Covers current developments in the field of Internet of Things (IoT)-based pollution control - Discusses the application of the Internet of Things (IoT) to monitoring industrial pollution from emissions, solid waste, and healthcare - Offers solutions for managing and mitigating the causes of pollution

Computational Intelligence for Medical Internet of Things (MIoT) Applications: Machine Intelligence Applications for IoT in Healthcare explores machine intelligence techniques necessary for effective MIoT research and practice, taking a practical approach for practitioners and students entering the field. This book investigates advanced concepts and applications in the MIoT field, guiding readers through emerging developments and future trends. A wide range of international authors guide readers through advanced concepts, including deep learning, neural network, and big data analytic approaches for the classification, indexing, retrieval, analysis, and inferencing of healthcare data. - Presents the state-of-the-art in machine intelligence and related technologies and methodologies for IoT in healthcare - Discusses emerging developments and trends in machine intelligence for business and decision-making strategy in healthcare - Features new models, practical solutions, prototypes, frameworks and technological advances related to machine intelligence for MIoT applications

In today's era, there is a need for a system that can automate the process of treatment for the patient if medical facilities are out of reach. Smart healthcare can step in to make the patient more self-dependent. 6G with its features can be seen as the future of smart healthcare with IoT and AI. 6G-Enabled IoT and AI for Smart Healthcare: Challenges, Impact, and Analysis offers the fundamentals, history, reality, and challenges faced in the smart healthcare industry today. It discusses the concepts, tools, and techniques of smart healthcare as well as the analysis used. The book details the role that machine learning-based deep learning and 6G-enabled IoT concepts play in the automation of smart healthcare systems. The book goes on to presents applications of smart healthcare through various real-world examples and includes chapters on security and privacy in the 6G-enabled and IoT environment, as well as research on the future prospects of the smart healthcare industry.This book: Offers the fundamentals, history, reality, and the challenges faced in the smart healthcare industry Discusses the concepts, tools, and techniques of smart healthcare as well as the analysis used Details the role that machine learning-based deep learning and 6G-enabled IoT concepts play in the automation of smart healthcare systems Presents applications of smart healthcare through various real-world examples Includes topics on security and privacy in 6G-enabled IoT, as well as research and future prospectus of the smart healthcare industry Interested readers of this book will include anyone working in or involved in smart healthcare research which includes, but is not limited to healthcare specialists, computer science engineers, electronics engineers, systems engineers, and pharmaceutical practitioners.

The COVID-19 epidemic has helped to expand the function of the Internet of Medical Things in healthcare at an exponential rate. This book offers a comprehensive exploration of IoMT in the post-COVID-19 era, providing an overview of modern technologies used for the improvement of healthcare, such as IoT, artificial intelligence, robotics, big data, and wearable devices used in healthcare applications, with a focus on the detection and treatment of COVID-19 and related viruses. The volume presents the principles, state-of-the-art developments, architecture, real-world applications, actual case studies, results of IoMT experiments and sensor-based systems, and more. The chapters look at various aspects of artificial intelligence in IoMT-based telemedicine, health monitoring, early COVID detection, automatic intravenous fluids feeds, chest x-ray images, data collection for decision-making, security of health information, and more. This volume provides an understanding of the real applications, development of healthcare systems, architectural frameworks, and modern design elements of healthcare systems.

Implementing new information technologies into the healthcare sector can provide alternatives to managing patients'health records, systems, and improving the quality of care received. This book provides an overview of Internet of Things (IoT) technologies related to the healthcare field and covers the main advantages and disadvantages along with industry case studies. This edited volume covers required standardization and interoperability initiatives, various Artificial Intelligence and Machine Learning algorithms, and discusses how health technology can meet the challenge of improving quality of life regardless of social and financial status, gender, age, and location. The book presents real-time applications and case studies in the fields of engineering, computer science, IoT, and healthcare and provides many examples of successful IoT projects.The target audience for this edited volume includes researchers, practitioners, students, as well as key stakeholders involved in and working on healthcare engineering solutions.

Este libro surge como un punto de encuentro necesario entre la academia y el activismo con el objetivo de acercar la investigación a la realidad social de nuestro entorno a partir de diversas teorizaciones sobre la sexualidad y la perspectiva de género desde la perspectiva de los Derechos Humanos. En las siguientes páginas, a través de quince capítulos, se muestran una amplia variedad de propuestas mediante la participación de personas implicadas, las cuales desde su discurso académico, activista y personal con planteamientos concretos, plantean una sociedad donde primen los Derecho Humanos con respecto a las múltiples diversidades sexogenéricas...

Cyberchondria is characterized by a pattern of excessive health-based search behaviors that are likely to increase health anxiety or distress, heightened by ever-increasing access to and normalization of technology use and the internet specifically. The internet can be a source of valuable medical information and is an efficient vehicle for awareness-raising and dissemination; however, it can increase anxiety in audiences without medical knowledge or training and can pose a challenge to the traditional gatekeepers of medical knowledge and expertise. Technological advances are accelerating rapidly; however, concomitant to this acceleration, an epidemic of online mis- and dis-information that has the capacity to negatively impact general health, health literacy, and health behaviors globally now exists. The World Health Organization (WHO) has described this information overload as an infodemic. The Handbook of Research on Cyberchondria, Health Literacy, and the Role of Media in Society's Perception of Medical Information covers a wide range of topics from the characteristics and prevalence of cyberchondria to the pandemic policy response and cybersecurity issues relating to eHealth initiatives and pandemic-related surges in cybercrime. Therefore, this publication has transdisciplinary relevance to professionals from healthcare, government, law enforcement, academia, the technology sector, media, cybersecurity, and education. Graduate and undergraduate students may also find it to be a beneficial resource, not only in terms of the study of cyberchondria but also in terms of the psychological and sociological implications of global crisis events. One of the key messages of this book is as follows: All stakeholders must work together strategically to disseminate authentic public health messages during any global health crisis. They must work to reduce health-related anxiety mediated by technology and seek to improve critical thinking skills and global health literacy.

Digital disruption in healthcare is generating new technologies, applications, and large data sets, and these are all precipitating significant changes in healthcare processes. Emerging applications due to digital disruption and their impact on healthcare delivery and quality are becoming some of the key focus areas of research. However, to date, systematic, generalizable, full-scale evaluation of these new technologies/applications is lacking. Little is known about the net short- or long-term health and wellness impacts of digital technologies. Similarly, the care-delivery and management process changes caused by digital disruption are forcing healthcare organizations to react rather than plan for them in advance. Given these gaps, this book addresses the technology, applications, data, and process aspects of digital disruption in healthcare. This volume is a collection of key areas in health and wellness impacted by digital disruption. It highlights the benefits, barriers,facilitators, and transformative forces that are shaping healthcare digital disruption. Topics explored in the chapters include: Towards Network Medicine: Implementation of Panomics and Artificial Intelligence for Precision MedicineTelehealth Implementation: A Synopsis of Patients'Experience of Clinical OutcomesRealising the Healthcare Value Proposition of Better Access, Quality and Value of Care by Incorporating the Social Determinants of Health with Digital HealthThe Internet Hospital in the Time of COVID-19: An Example from China Given the diverse interest in healthcare delivery solutions today, the need is broad across academia and the healthcare industry for a comprehensive resource for teaching, practice, and research. Digital Disruption in Healthcare is a point-of-entry resource for transferring theory into practice for heads of IT departments in hospitals, consultants, and academia,as well as scholars and researchers. Both graduate and undergraduate students as well as certificate-seeking health informatics and public health students would benefit from this book. Furthermore, it is useful for healthcare stakeholders including healthcare professionals, clinicians, medical administrators, managers, consultants, policy-makers, and IT practitioners within the healthcare space.

Smart Health Technologies for the COVID-19 Pandemic: Internet of medical things perspectives looks at the role technology has played to monitor, map and fight the global COVID-19 pandemic. Chapters outline risk assessment methodologies and social distancing and infection control technologies in the face of this disease outbreak.

Digital Health Care: Perspectives, Applications, and Cases explores the trends, perspectives, and cases of Digital Healthcare and Informatics (DHI) that are transforming healthcare across the globe. Organized in 5 major connecting parts, this well-conceived text begins by laying out foundational DHI themes before focusing in on key DHI core technologies, developments, methods and challenges -- from big data analytics & artificial intelligence to security and privacy issues, clinical decision support systems, consumer health informatics, and more. It then explores DHI emerging technologies (e.g. sensors and wearable electronics), and concludes with short case studies and critical case questions designed to reinforce conceptual understanding. Written for undergraduates health professionals, this accessible text offers a multidisciplinary perspective that is suitable for use in variety of healthcare disciplines - from allied health and nursing to health administration & public health

This book focuses on the applications of different digital platforms in the field of healthcare. It describes different devices used in digital healthcare, their benefits, diagnosis, use in treatment, and use cases related to mobile healthcare. Further, it covers machine and deep learning, blockchain technology, big data analytics as relevant to digital healthcare, telehealth technology, and digital applications in the field of push-and-pull pharma marketing. Overall, it enables readers to understand the basics of decision-making processes using digital techniques for the healthcare field.Features: Discusses various aspects of digitization of healthcare systems Examines deployment of machine learning including IoT and medical analytics Provides studies on the design, implementation, development, and management of intelligent healthcare systems Includes sensor-based digitization of healthcare data Reviews real-time advancement and challenges of digital communication in the field of healthcare This book is aimed at researchers and graduate students in healthcare, internet of things, machine learning, computer science, robotics, wearables, electrical engineering, and biomedical engineering.

Die Bewerbung kosmetischer Chirurgie erfolgt vermehrt auf eigenen Websites, auf denen Gründe für oder gegen die medizinisch invasive Körperformung reformuliert werden. Steffen Loick Molina untersucht diskursanalytisch die Plausibilisierungs- und Inszenierungsmuster solcher kosmetisch-chirurgischer Angebote und durchleuchtet die Problemerzählungen von Eingriffen am Gesicht, an der Brust sowie am Körperfett. Die Websites erweisen sich dabei als normalisierende Körpertechnologien, die auf dem Bild des sozialen Tods basieren und auf eine Resouveränisierung des menschlichen Subjekts abzielen.

This book looks at the growing segment of Internet of Things technology (IoT) known as Internet of Medical Things (IoMT), an automated system that aids in bridging the gap between isolated and rural communities and the critical healthcare services that are available in more populated and urban areas. Many technological aspects of IoMT are still being researched and developed, with the objective of minimizing the cost and improving the performance of the overall healthcare system. This book focuses on innovative IoMT methods and solutions being developed for use in the application of healthcare services, including post-surgery care, virtual home assistance, smart real-time patient monitoring, implantable sensors and cameras, and diagnosis and treatment planning. It also examines critical issues around the technology, such as security vulnerabilities, IoMT machine learning approaches, and medical data compression for lossless data transmission and archiving. Internet of Medical Things is a valuable reference for researchers, students, and postgraduates working in biomedical, electronics, and communications engineering, as well as practicing healthcare professionals.

Navigating Digital Health Landscapes explores how users navigate the internet when searching for health information. It is the first book to conceptualise the internet as a landscape and the ways in which people navigate this digital world, including the complex entanglements between on and offline domains. It does so through a range of disciplinary perspectives from expert contributors across STS (science and technology studies), social anthropology, biomedicine, ethics and law, linguistics, social policy and computer scientists working in more technical aspects of tracking and visualising data and information on the internet. The book provides a unique and valuable contribution for those wishing to understand how digital technologies are affecting the design, implementation and use of digital systems to manage health information in different contexts.

Digital technology use, whether on smartphones, tablets, laptops, or other devices, is prevalent across cultures. Certain types and patterns of digital technology use have been associated with mental health concerns, but these technologies also have the potential to improve mental health through the gathering of information, by targeting interventions, and through delivery of care to remote areas. The Oxford Handbook of Digital Technologies and Mental Health provides a comprehensive and authoritative review of the relationships between mental health and digital technology use, including how such technologies may be harnessed to improve mental health. Understanding the positive and negative correlates of the use of digital technologies has significant personal and public health implications, and as such this volume explores in unparalleled depth the historical and cultural contexts in which technology use has evolved; conceptual issues surrounding digital technologies; potential positive and potential negative impacts of such use; treatment, assessment, and legal considerations around digital technologies and mental health; technology use in specific populations; the use of digital technologies to treat psychosocial disorders; and the treatment of problematic internet use and gaming. With chapters contributed by leading scientists from around the world, this Handbook will be of interest to those in medical and university settings, students and clinicians, and policymakers.

This book utilizes big data to undertake a cluster analysis of medical accidents. Highlighting shared worldwide accident patterns, it represents a first step toward reducing the incidence of accidents through kaizen innovation driven by information and communications technology. This initiative comes against a background where medical accidents are currently the third largest cause of death after heart attack and cancer, making accident prevention an urgent concern. With the objective of preventing these accidents, which negatively impact numerous different stakeholders, and based on interdisciplinary research, the book examines (1) the application of data mining to identify shared accident patterns; (2) proposals for system improvement and organizational innovation aimed at risk and resilience in crisis management; and (3) the use of a global platform to achieve sustainability in the Internet of Medicine (IoM).

Die Digitalisierung muss eigentlich bei allen Vorhaben mitgedacht werden.“ (Jens Spahn) Die Strukturen im deutschen Gesundheitswesen werden in den nächsten zehn Jahren mehr Veränderung erfahren als in den 100 Jahren zuvor. Wie die Elektrizität zu Beginn des 20. Jahrhunderts das Leben der Menschen grundlegend verändert hat, wird dies jetzt die Digitalisierung tun. Was heute sektorenübergreifende Versorgung ist, wird in den kommenden Jahren zu Schlüsselbereichen der Vernetzung unseres Gesundheitswesens. Das bietet große Chancen, ist aber nicht ohne Risiken. Unbestreitbar ist, dass wir jetzt die Weichen für eine patientenorientierte Gesundheitsversorgung stellen müssen. In diesem Werk präsentieren Expertinnen und Experten aus Versicherungswirtschaft, Versorgungsforschung und Gesundheitsversorgung die wesentlichen Handlungsfelder und Optionen im digitalen Wandel des Gesundheitsystems. Das Werk ist Informationsquelle und Impulsgeber für die Entscheider aus Politik, Gesellschaft und Gesundheitswesen.

This book explores how digital storytelling can catalyze change in healthcare. Edited by the co-founders of the award-winning Patient Voices Programme, the authors discuss various applications for this technique; from using digital storytelling as a reflective process, to the use of digital stories in augmenting quantitative data. Through six main sections this second edition covers areas including healthcare education, patient engagement, quality improvement and the use of digital storytelling research. The chapters illuminate how digital storytelling can lead to greater humanity, understanding and, ultimately, compassion. This collection will appeal to those involved in delivering, managing or receiving healthcare and healthcare education and research, as well as people interested in digital storytelling and participatory media.

Virtual communities have gained popularity in many growing fields and have continued to expand into healthcare environments. Analyzing the impact these communities have can help provide more effective methods to support patients and community members. Novel Applications of Virtual Communities in Healthcare Settings is a crucial scholarly reference source that examines the challenges virtual communities can face, as well as the advantages they provide to members of healthcare organizations. Featuring pertinent topics that include evaluation frameworks, disaster management, knowledge translation, and user engagement, this book is ideal for medical practitioners, academicians, students, and healthcare researchers that are interested in taking part in the latest discussions of virtual communities within medical fields.

Medical practice and research are inconceivable today without electronic computing and communication tools. Digital machines do many tasks orders-of-magnitude better, faster and more accurately than humans.Still, there are functions critical to the healthcare endeavor that people do much better than machines, things like: understanding and using natural language; perceiving what is unexpressed; taking into account values, culture, ethics, and human relationships; touching and healing. For the foreseeable future, the'smartest'computers will be no match for human beings when it comes to performing these most anthropic functions.American healthcare is at a critical juncture. Providers and patients are increasingly frustrated by degradation of the human relationships that lie at the core of the medical practice. Technologies, such as the computerized medical record, get much of the blame for intrusion into the patient-provider relationship. However, it is not technology itself that is to blame. The fault lies with how systems are conceived, designed, and deployed.This book analyzes how to organize the work of healthcare in a way that uses machines to do what they do best, thereby freeing humans to do what we do best. Smart use of electronic technology is crucial to the success of any bid to fulfill the Institute for Healthcare Improvement's triple aim to make healthcare more effective, efficient, and humane.

This innovative text, built on the foundations of Watson's Caring Science, demonstrates how nursing professionals can develop virtual relationships that encompass caring and understanding in professional, teaching/learning, and everyday cyber communications. It describes how caring and love can transcend distance, space, and time in our increasingly virtual world to preserve the basic fabric of humanity as we physically interact less and electronically interact more. Straightforward and concise, the text offers specific practices for teachers, students, and professionals to support caring in a digital world, along with practical examples that enable readers to envision ways to create their own caring online presence.The text provides examples of initiatives aimed at establishing ongoing intent to care on levels ranging from personal to global. Included are a variety of educational activities that rely on digital resources to facilitate interaction, collaboration, learning, and connection. Learning objectives and knowledge-check questions in each chapter reinforce information, and a corresponding MOOC and other free professional online trainings are available to readers to augment study.Key Features:Built on Watson's Caring Science and expanded through Sitzman's researchContains specific information and practical examples for faculty, students, and professionals who interact onlineProvides examples of online caring initiatives from personal to globalValidated by seven research studies and extensive online experience of the authors