The technology on our body, in our body and all around us enhances our health and well-being from conception to death. This environment is emerging now with intelligent caring machines, cyborgs, wireless embedded continuous computing, healthwear, sensors, healthons, nanomedicine, adaptive process control, mathematical modeling and common sense systems. The human body and the world in which it functions is a continuously changing complex adaptive system. We are able to collect more and more data about it but the real challenge is to infer local dynamics from that data. Intelligent Caring Biomechatronic Creatures and Healthmaticians (mathematicians serving human health) have a better chance of inferring the dynamics that needs to be understood than human physicians. Humans can only process comfortably three dimensions while computers can see infinite number of dimensions. We will need to trust the distributed network of healthons, Intelligent Caring Creatures, and NURSES (New Unified Resource System Engineers) to create Health Extelligence. We need new vocabulary to push forward in a new way. For instance; healthons are tools combining prevention with diagnosis and treatment, based on continuous monitoring and analyzing of our vital signs and biochemistry. The 'Healthon Era' is just beginning. We are closer and closer to the world with healthons on your body, in your body and all around you; where not a doctor but your primary care healthmatician warns you about an approaching headache; and where NURSE programs your intelligent caring creatures so they can talk to your cells and stop disease in its tracks.

Examines the horizon of ideas and technologies which must be addressed by decision makers involved in health-related resource allocation. This book addresses the technological revolution in healthcare which is manifesting itself in the convergence of molecular biology, computer and medical science, mechanical, genetic and biomedical engineering.

This book fosters a scientific debate for sophisticated approaches and cognitive technologies (such as deep learning, machine learning and advanced analytics) for enhanced healthcare services in light of the tremendous scope in the future of intelligent systems for healthcare. The authors discuss the proliferation of huge data sources (e.g. genomes, electronic health records (EHRs), mobile diagnostics, and wearable devices) and breakthroughs in artificial intelligence applications, which have unlocked the doors for diagnosing and treating multitudes of rare diseases. The contributors show how the widespread adoption of intelligent health based systems could help overcome challenges, such as shortages of staff and supplies, accessibility barriers, lack of awareness on certain health issues, identification of patient needs, and early detection and diagnosis of illnesses. This book is a small yet significant step towards exploring recent advances, disseminating state-of-the-art techniques and deploying novel technologies in intelligent healthcare services and applications. Describes the advances of computing methodologies for life and medical science data; Presents applications of artificial intelligence in healthcare along with case studies and datasets; Provides an ideal reference for medical imaging researchers, industry scientists and engineers, advanced undergraduate and graduate students, and clinicians.

This book features selected papers presented at Second International Conference on International Conference on Information Management & Machine Intelligence (ICIMMI 2020) held at Poornima Institute of Engineering & Technology, Jaipur, Rajasthan, India during 24 – 25 July 2020. It covers a range of topics, including data analytics; AI; machine and deep learning; information management, security, processing techniques and interpretation; applications of artificial intelligence in soft computing and pattern recognition; cloud-based applications for machine learning; application of IoT in power distribution systems; as well as wireless sensor networks and adaptive wireless communication.

This book provides a general overview of intelligence in health policy, health-care organizations and health services in the light of the current EU digital agenda, which aims to make health data and e-health tools publicly available. The first part analyses the implications of knowledge management and decision-making procedures for intelligent health policies and governance. The second part discusses in detail the concept of intelligence and illustrates why the perspective of organizational intelligence offers a solution to contemporary problems in health care, while the third part focuses on intelligent leadership models in health-care organizations. Providing a guide to new ways of understanding, developing, and reforming health policy and health services, it appeals to scholars as well as decision-makers in health governance and health-care institutions.

The book sheds light on medical cyber-physical systems while addressing image processing, microscopy, security, biomedical imaging, automation, robotics, network layers’ issues, software design, and biometrics, among other areas. Hence, solving the dimensionality conundrum caused by the necessity to balance data acquisition, image modalities, different resolutions, dissimilar picture representations, subspace decompositions, compressed sensing, and communications constraints. Lighter computational implementations can circumvent the heavy computational burden of healthcare processing applications. Soft computing, metaheuristic, and deep learning ascend as potential solutions to efficient super-resolution deployment. The amount of multi-resolution and multi-modal images has been augmenting the need for more efficient and intelligent analyses, e.g., computer-aided diagnosis via computational intelligence techniques. This book consolidates the work on artificial intelligence methods and clever design paradigms for healthcare to foster research and implementations in many domains. It will serve researchers, technology professionals, academia, and students working in the area of the latest advances and upcoming technologies employing smart systems’ design practices and computational intelligence tactics for medical usage. The book explores deep learning practices within particularly difficult computational types of health problems. It aspires to provide an assortment of novel research works that focuses on the broad challenges of designing better healthcare services.

In ten years, we will take working with artificial intelligence (AI) more for granted than using cell phones today. 78 recognized experts from practice and research provide deep insights and outlooks regarding the influence of AI on everyday working life in 2030, explaining with practical tips how you can prepare for this development. The 41 concise articles cover a broad spectrum in the area examined in each case. Thanks to a standardized structure, they include a summary of the status quo, concrete examples, future expectations, an overview of challenges and possible solutions, and practical tips. The volume begins with societal and ethical issues before discussing legal considerations for employers and HR professionals, as well as the administration of justice. The other chapters examine the impact of AI on the world of work in 2030 in the sectors of business, industry, mobility and logistics, medicine and pharmaceuticals, and (further) education.

Prolonged life expectancy along with the increasing complexity of medicine and health services raises health costs worldwide dramatically. Whilst the smart health concept has much potential to support the concept of the emerging P4-medicine (preventive, participatory, predictive, and personalized), such high-tech medicine produces large amounts of high-dimensional, weakly-structured data sets and massive amounts of unstructured information. All these technological approaches along with “big data” are turning the medical sciences into a data-intensive science. To keep pace with the growing amounts of complex data, smart hospital approaches are a commandment of the future, necessitating context aware computing along with advanced interaction paradigms in new physical-digital ecosystems. The very successful synergistic combination of methodologies and approaches from Human-Computer Interaction (HCI) and Knowledge Discovery and Data Mining (KDD) offers ideal conditions for the vision to support human intelligence with machine learning. The papers selected for this volume focus on hot topics in smart health; they discuss open problems and future challenges in order to provide a research agenda to stimulate further research and progress.

The book aims to provide a deeper understanding of the synergistic impact of Artificial intelligence (AI) and the Internet of Things (IoT) for disease detection. It presents a collection of topics designed to explain methods to detect different diseases in humans and plants. Chapters are edited by experts in IT and machine learning, and are structured to make the volume accessible to a wide range of readers. Key Features: - 17 Chapters present information about the applications of AI and IoT in clinical medicine and plant biology - Provides examples of algorithms for heart diseases, Alzheimer’s disease, cancer, pneumonia and more - Includes techniques to detect plant disease - Includes information about the application of machine learning in specific imaging modalities - Highlights the use of a variety of advanced Deep learning techniques like Mask R-CNN - Each chapter provides an introduction and literature review and the relevant protocols to follow The book is an informative guide for data and computer scientists working to improve disease detection techniques in medical and life sciences research. It also serves as a reference for engineers working in the healthcare delivery sector.

Swamy Laxminarayan was an outstanding researcher active in many diverse fields of science and technology. This liber amicorum in memory of Swamy Laxminarayan collects Medical and Biological Engineering and Informatics contributions to the Safety and Security of Individuals and Society. The authors are renowned scientists and the aim of their writing is to recall the enormous personal and scientific achievement of Swamy Laxminarayan.