Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data

Trust in Human-Robot Interaction addresses the gamut of factors that influence trust of robotic systems. The book presents the theory, fundamentals, techniques and diverse applications of the behavioral, cognitive and neural mechanisms of trust in human-robot interaction, covering topics like individual differences, transparency, communication, physical design, privacy and ethics. - Presents a repository of the open questions and challenges in trust in HRI - Includes contributions from many disciplines participating in HRI research, including psychology, neuroscience, sociology, engineering and computer science - Examines human information processing as a foundation for understanding HRI - Details the methods and techniques used to test and quantify trust in HRI

The Internet of Things has revolutionized many industries and sectors by connecting devices to the Internet with the use of smart sensors and actuators, resulting in many advantages to businesses and organizations, such as better information and resource sharing, better supply chain efficiency, resulting in better overall efficiency and cost savings. This new book investigates the potential for initiating data-enabled and IoT-intensive applications to provide control and optimization of industrial operations and services. It presents an informative selection of quantitative research, case studies, conceptual chapters, model articles and theoretical papers on many important technological advances, applications, and challenges in the current status of IoT. The book features examples of IoT applications in such areas as food processing, automotive engineering, mental health, health tracking, security, and more. It discusses applying IoT in reverse logistics processes, developments in the Internet of Vehicles, the use of smart antennas, and machine learning in IoT. One chapter discusses a ground-breaking new device that uses IoT to convert audio recordings to Braille. Also discussed is the growing use of IoT in biometric technology (the use of technology to identify a person based on some aspect of their biology, such as fingerprint and eye unique pattern recognition). The enlightening information shared here offers state-of-the-art IoT solutions to many of today’s challenges of improving efficiency and bringing important information to the surface more quickly than systems depending on human intervention. The volume will be of value for computer science engineers and researchers, instructors and students in the field, and professionals that are interested in exploring the areas of next-generations IoT.

The U.S. Census Bureau has reported that 56.7 million Americans had some type of disability in 2010, which represents 18.7 percent of the civilian noninstitutionalized population included in the 2010 Survey of Income and Program Participation. The U.S. Social Security Administration (SSA) provides disability benefits through the Social Security Disability Insurance (SSDI) program and the Supplemental Security Income (SSI) program. As of December 2015, approximately 11 million individuals were SSDI beneficiaries, and about 8 million were SSI beneficiaries. SSA currently considers assistive devices in the nonmedical and medical areas of its program guidelines. During determinations of substantial gainful activity and income eligibility for SSI benefits, the reasonable cost of items, devices, or services applicants need to enable them to work with their impairment is subtracted from eligible earnings, even if those items or services are used for activities of daily living in addition to work. In addition, SSA considers assistive devices in its medical disability determination process and assessment of work capacity. The Promise of Assistive Technology to Enhance Activity and Work Participation provides an analysis of selected assistive products and technologies, including wheeled and seated mobility devices, upper-extremity prostheses, and products and technologies selected by the committee that pertain to hearing and to communication and speech in adults.

Health and social care systems around the world are facing radical organizational, methodological and technological paradigm changes to meet the requirements for improving quality and safety of care as well as efficiency and efficacy of care processes. In this they’re trying to manage the challenges of ongoing demographic changes towards aging, multi-diseased societies, development of human resources, a health and social services consumerism, medical and biomedical progress, and exploding costs for health-related R&D as well as health services delivery. Furthermore, they intend to achieve sustainability of global health systems by transforming them towards intelligent, adaptive and proactive systems focusing on health and wellness with optimized quality and safety outcomes.

In 21st Century Airlines: Connecting the Dots, Nawal Taneja addresses the challenges and opportunities facing the airline industry as it tries to innovate and create products and services that are radically different by ‘connecting the dots’ at four key levels: recognizing the implications of global events, improving cross-functional collaboration within the organization, working more closely with the travel chain, and providing much higher engagements with connectors within the social networks. The book synthesizes insights gained from the experience of non-traditional businesses, such as Uber, that have no physical assets and that focus on scalability through platforms, as well as traditional businesses, such as Mercedes-Benz, that are transitioning from operators of physical assets to adapt to the on-demand and sharing economies. These insights show pragmatically that digitizing airline businesses would require digital mind-sets, digital technologies, digital strategies, and digital workplaces to explore new frontiers in value for both customers and airlines. Moreover, forward-thinking airlines need to consider working with bimodal organizational structures, in which one group optimizes current business models (network, fleet, and schedule planning, as well as revenue management) while a second group explores innovative ways to add digital features to physical products to provide a consistent experience throughout the journey. The book is written for all senior-level practitioners of airlines and related businesses worldwide, as well as senior-level government policymakers.