Artificial Intelligence In Behavioral And Mental Health Care
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Artificial Intelligence In Behavioral And Mental Health Care
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Author : David D. Luxton
language : en
Publisher: Academic Press
Release Date : 2015-09-10
Artificial Intelligence In Behavioral And Mental Health Care written by David D. Luxton and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-09-10 with Psychology categories.
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
Ai In Psychiatry The Ultimate Guide To Responsible And Ethical Implementation
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Author : Lauro Amezcua-Patino, MD, FAPA
language : en
Publisher: Metropolitan Consulting Corporation
Release Date : 2023-09-10
Ai In Psychiatry The Ultimate Guide To Responsible And Ethical Implementation written by Lauro Amezcua-Patino, MD, FAPA and has been published by Metropolitan Consulting Corporation this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-10 with Medical categories.
Artificial intelligence (AI) and machine learning offer immense potential to transform psychiatry and mental healthcare. As these technologies continue to evolve rapidly, ensuring responsible and ethical implementation remains crucial. This definitive ebook provides psychiatrists, developers, policymakers and other stakeholders a comprehensive guide to leveraging AI in psychiatry in a thoughtful, prudent manner. From Improving Diagnosis and Treatment to Enabling Personalized Care, AI Promises to Enhance Patient Outcomes Exciting opportunities lie ahead to utilize AI and machine learning to improve psychiatric diagnosis, enhance treatment methodologies, and enable more personalized mental healthcare. AI-enabled solutions like predictive analytics, digital phenotyping, and conversational agents can provide benefits ranging from earlier intervention to reduced stigma. However, the limitations and clinical validity of these innovations must also be weighed carefully. Practical Guidance Offered on Mitigating Algorithmic Bias, Ensuring Privacy, and Obtaining Consent with AI The responsible design, testing, and deployment of AI tools is emphasized throughout this ebook. Practical guidance is offered on crucial considerations like mitigating algorithmic bias, ensuring patient privacy, and obtaining informed consent when AI is used in assessment or treatment. Establishing trust between patients, psychiatrists, and intelligent systems emerges as an important prerequisite for the effective integration of AI in mental healthcare. The Thoughtful Integration of AI with Psychiatry Poised to Increase Access to Quality Mental Healthcare Grounding discussions in real-world examples, this ebook advocates for the judicious adoption of AI in psychiatry. The thoughtful integration of these technologies stands ready to increase access to quality mental health services, reduce stigma, and enable more positive outcomes for diverse populations.
Virtual And Augmented Reality In Mental Health Treatment
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Author : Guazzaroni, Giuliana
language : en
Publisher: IGI Global
Release Date : 2018-11-02
Virtual And Augmented Reality In Mental Health Treatment written by Guazzaroni, Giuliana and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-02 with Medical categories.
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.
Artificial Intelligence Machine Learning And Mental Health In Pandemics
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Author : Shikha Jain
language : en
Publisher: Academic Press
Release Date : 2022-04-22
Artificial Intelligence Machine Learning And Mental Health In Pandemics written by Shikha Jain and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-22 with Psychology categories.
Artificial Intelligence, Machine Learning, and Mental Health in Pandemics: A Computational Approach provides a comprehensive guide for public health authorities, researchers and health professionals in psychological health. The book takes a unique approach by exploring how Artificial Intelligence (AI) and Machine Learning (ML) based solutions can assist with monitoring, detection and intervention for mental health at an early stage. Chapters include computational approaches, computational models, machine learning based anxiety and depression detection and artificial intelligence detection of mental health. With the increase in number of natural disasters and the ongoing pandemic, people are experiencing uncertainty, leading to fear, anxiety and depression, hence this is a timely resource on the latest updates in the field. Examines the datasets and algorithms that can be used to detect mental disorders Covers machine learning solutions that can help determine the precautionary measures of psychological health problems Highlights innovative AI solutions and bi-statistics computation that can strengthen day-to-day medical procedures and decision-making
Artificial Intelligence In Geriatric Mental Health Research And Clinical Care
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Author : Ellen E. Lee
language : en
Publisher: Frontiers Media SA
Release Date : 2022-03-18
Artificial Intelligence In Geriatric Mental Health Research And Clinical Care written by Ellen E. Lee and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-18 with Medical categories.
Artificial Intelligence In Healthcare
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Author : Adam Bohr
language : en
Publisher: Academic Press
Release Date : 2020-06-21
Artificial Intelligence In Healthcare written by Adam Bohr and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-21 with Computers categories.
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
Personalized Psychiatry
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Author : Ives Cavalcante Passos
language : en
Publisher: Springer
Release Date : 2019-02-12
Personalized Psychiatry written by Ives Cavalcante Passos and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-12 with Medical categories.
This book integrates the concepts of big data analytics into mental health practice and research. Mental disorders represent a public health challenge of staggering proportions. According to the most recent Global Burden of Disease study, psychiatric disorders constitute the leading cause of years lost to disability. The high morbidity and mortality related to these conditions are proportional to the potential for overall health gains if mental disorders can be more effectively diagnosed and treated. In order to fill these gaps, analysis in science, industry, and government seeks to use big data for a variety of problems, including clinical outcomes and diagnosis in psychiatry. Multiple mental healthcare providers and research laboratories are increasingly using large data sets to fulfill their mission. Briefly, big data is characterized by high volume, high velocity, variety and veracity of information, and to be useful it must be analyzed, interpreted, and acted upon. As such, focus has to shift to new analytical tools from the field of machine learning that will be critical for anyone practicing medicine, psychiatry and behavioral sciences in the 21st century. Big data analytics is gaining traction in psychiatric research, being used to provide predictive models for both clinical practice and public health systems. As compared with traditional statistical methods that provide primarily average group-level results, big data analytics allows predictions and stratification of clinical outcomes at an individual subject level. Personalized Psychiatry – Big Data Analytics in Mental Health provides a unique opportunity to showcase innovative solutions tackling complex problems in mental health using big data and machine learning. It represents an interesting platform to work with key opinion leaders to document current achievements, introduce new concepts as well as project the future role of big data and machine learning in mental health.
Artificial Intelligence In Brain And Mental Health Philosophical Ethical Policy Issues
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Author : Fabrice Jotterand
language : en
Publisher: Springer Nature
Release Date : 2022-02-11
Artificial Intelligence In Brain And Mental Health Philosophical Ethical Policy Issues written by Fabrice Jotterand and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-11 with Medical categories.
This volume provides an interdisciplinary collection of essays from leaders in various fields addressing the current and future challenges arising from the implementation of AI in brain and mental health. Artificial Intelligence (AI) has the potential to transform health care and improve biomedical research. While the potential of AI in brain and mental health is tremendous, its ethical, regulatory and social impacts have not been assessed in a comprehensive and systemic way. The volume is structured according to three main sections, each of them focusing on different types of AI technologies. Part 1, Big Data and Automated Learning: Scientific and Ethical Considerations, specifically addresses issues arising from the use of AI software, especially machine learning, in the clinical context or for therapeutic applications. Part 2, AI for Digital Mental Health and Assistive Robotics: Philosophical and Regulatory Challenges, examines philosophical, ethical and regulatory issues arising from the use of an array of technologies beyond the clinical context. In the final section of the volume, Part 3 entitled AI in Neuroscience and Neurotechnology: Ethical, Social and Policy Issues, contributions examine some of the implications of AI in neuroscience and neurotechnology and the regulatory gaps or ambiguities that could potentially hamper the responsible development and implementation of AI solutions in brain and mental health. In light of its comprehensiveness and multi-disciplinary character, this book marks an important milestone in the public understanding of the ethics of AI in brain and mental health and provides a useful resource for any future investigation in this crucial and rapidly evolving area of AI application. The book is of interest to a wide audience in neuroethics, robotics, computer science, neuroscience, psychiatry and mental health.
Digital Therapies In Psychosocial Rehabilitation And Mental Health
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Author : Marques, António
language : en
Publisher: IGI Global
Release Date : 2021-12-10
Digital Therapies In Psychosocial Rehabilitation And Mental Health written by Marques, António and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-10 with Medical categories.
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.
Digital Innovations For Mental Health Support
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Author : Prescott, Julie
language : en
Publisher: IGI Global
Release Date : 2021-11-19
Digital Innovations For Mental Health Support written by Prescott, Julie and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-19 with Medical categories.
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.