Artificial Intelligence in Behavioral and Mental Health Care summarizes recent advances in artificial intelligence as it applies to mental health clinical practice. Each chapter provides a technical description of the advance, review of application in clinical practice, and empirical data on clinical efficacy. In addition, each chapter includes a discussion of practical issues in clinical settings, ethical considerations, and limitations of use. The book encompasses AI based advances in decision-making, in assessment and treatment, in providing education to clients, robot assisted task completion, and the use of AI for research and data gathering. This book will be of use to mental health practitioners interested in learning about, or incorporating AI advances into their practice and for researchers interested in a comprehensive review of these advances in one source. Summarizes AI advances for use in mental health practice Includes advances in AI based decision-making and consultation Describes AI applications for assessment and treatment Details AI advances in robots for clinical settings Provides empirical data on clinical efficacy Explores practical issues of use in clinical settings

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

Medical and technological organizations have recently developed therapy and assistance solutions that venture beyond what is considered conventional for individuals with various mental health conditions and behavioral disorders such as autism, Down syndrome, Alzheimer’s disease, anxiety disorders, phobias, and learning difficulties. Through the use of virtual and augmented reality, researchers are working to provide alternative therapy methods to treat these conditions, while studying the long-term effects the treatment has on patients. Virtual and Augmented Reality in Mental Health Treatment provides innovative insights into the use and durability of virtual reality as a treatment for various behavioral and emotional disorders and health problems. The content within this publication represents the work of e-learning, digital psychology, and quality of care. It is designed for psychologists, psychiatrists, professionals, medical staff, educators, and researchers, and covers topics centered on medical and therapeutic applications of artificial intelligence and simulated environment.

Digital health is the convergence of digital technologies with health to enhance the efficiency of healthcare delivery and make healthcare more personalized and precise. These technologies generally focus on the development of interconnected health systems to improve the use of computational technologies, smart devices, computational analysis techniques, and communication media to help healthcare professionals and their patients manage illnesses and health risks, as well as promote health and well-being. Digital tools play a central role in the most promising future healthcare innovations and create tremendous opportunities for a more integrated and value-based system along with a stronger focus on patient outcomes, and as such, having access to the latest research findings and progressions is of paramount importance. Digital Therapies in Psychosocial Rehabilitation and Mental Health introduces the latest digital innovations in the mental health field and points out new ways it can be used in patient care while also delving into some of the limits of its application. It presents a comprehensive state-of-the-art approach to digital mental health technologies and practices within the broad confines of psychosocial and mental health practices and also provides a canvas to discuss emerging digital mental health solutions, propelled by the ubiquitous availability of personalized devices and affordable wearable sensors and innovative technologies such as virtual and augmented reality, mobile apps, robots, and intelligent platforms. It is ideal for medical professors and students, researchers, practitioners of healthcare companies, managers, and other professionals where digital health technologies can be used.

AI is poised to transform every aspect of healthcare, including the way we manage personal health, from customer experience and clinical care to healthcare cost reductions. This practical book is one of the first to describe present and future use cases where AI can help solve pernicious healthcare problems. Kerrie Holley and Siupo Becker provide guidance to help informatics and healthcare leadership create AI strategy and implementation plans for healthcare. With this book, business stakeholders and practitioners will be able to build knowledge, a roadmap, and the confidence to support AIin their organizations—without getting into the weeds of algorithms or open source frameworks. Cowritten by an AI technologist and a medical doctor who leverages AI to solve healthcare’s most difficult challenges, this book covers: The myths and realities of AI, now and in the future Human-centered AI: what it is and how to make it possible Using various AI technologies to go beyond precision medicine How to deliver patient care using the IoT and ambient computing with AI How AI can help reduce waste in healthcare AI strategy and how to identify high-priority AI application

This crucial volume provides a concise overview of the conceptual foundations and clinical methods underlying the rapidly emerging subspecialty of integrative mental healthcare. It discusses methods for guiding practitioners to individualized integrative strategies that address unique symptoms and circumstances for each patient and includes practical clinical techniques for developing interventions addressed at wellness, prevention, and treatment. Included among the overview: Meeting the challenges of mental illness through integrative mental health care. Evolving paradigms and their impact on mental health care Models of consciousness: How they shape understandings of normal mental functioning and mental illness Foundations of methodology in integrative mental health care Treatment planning in integrative mental health care The future of mental health care A New Paradigm for Integrative Mental Healthcare is relevant and timely for the increasing numbers of patients seeking integrative and alternative care for depressed mood, anxiety, ADHD, bipolar disorder, schizophrenia, and other mental health problems such as fatigue and chronic pain. “Patients are crying out for a more integrative approach, and this exemplary book provides the template for achieving such a vision.” -Jerome Sarris, MHSc, PhD, ND “For most conventionally trained clinicians the challenge is not “does CAM work?” but “how do I integrate CAM into my clinical practice?” Lake’s comprehensive approach answers this central question, enabling the clinician to plan truly integrative and effective care for the mind and body.” -Leslie Korn, PhD, MPH

Given the migration to more technologically driven services and resources in today’s world, as well as the range of digital innovations and research that have taken shape throughout the COVID-19 pandemic, it is important to consider the role that such advancements have played in supporting mental health initiatives. Throughout the COVID-19 pandemic, mental health service providers utilized technology and online environments more than ever before to care for people’s mental health and emotional needs, which has forced us to raise questions like how COVID-19 has impacted mental health support and services and how technology has helped people with their mental health through this ongoing crisis, along with outlooks for the future. Digital Innovations for Mental Health Support explores a range of current developments and topics surrounding the application of technology in mental health services including the need to examine the availability and forms of technologies to support mental health, how technology is received by people and the providers of services utilizing technology, how online platforms are increasingly being used for support and how efficacious these are, as well as how they are monitored and the issues that arise from their use. This publication provides an outlet with chapters focusing on empirical studies across a variety disciplines that utilize technologies and online platforms to support mental health and emotional well-being, including psychology, counseling, medicine, education, and psychiatry. Covering topics such as counseling online and computer games to support mental health, it is ideal for researchers, academics, healthcare professionals, and students.