Disrupting Mental Health Therapy Via Generative Ai
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Author | : David D. Luxton |
Publisher | : Academic Press |
Total Pages | : 309 |
Release | : 2015-09-10 |
Genre | : Psychology |
ISBN | : 0128007923 |
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
Author | : Adam Bohr |
Publisher | : Academic Press |
Total Pages | : 385 |
Release | : 2020-06-21 |
Genre | : Computers |
ISBN | : 0128184396 |
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
Author | : Robert T. Ammerman |
Publisher | : Elsevier Health Sciences |
Total Pages | : 209 |
Release | : 2024-10-22 |
Genre | : Medical |
ISBN | : 0443293635 |
In this issue of Pediatric Clinics of North America, guest editors Drs. Robert T. Ammerman and Craig Erickson bring their considerable expertise to the topic of Innovative Approaches to Addressing Pediatric Mental Health in Primary Care. Pediatric primary care is at the forefront of identification and referral to treatment for mental health problems in children and adolescents, and has recently taken a leading role in prevention and treatment of mental health problems. This issue covers the range of new strategies and interventions for pediatricians and pediatric health care professionals to support behavioral health in children and adolescents. - Contains 12 relevant, practice-oriented topics including mental health screening and measurement in children and adolescents; pediatric mental health prevention programs in primary care; trauma-informed strategies in pediatric primary care; suicide prevention in children and adolescents; digital technologies in pediatric primary care; and more. - Provides in-depth clinical reviews on innovative approaches to addressing pediatric mental health in primary care, offering actionable insights for clinical practice. - Presents the latest information on this timely, focused topic under the leadership of experienced editors in the field. Authors synthesize and distill the latest research and practice guidelines to create clinically significant, topic-based reviews.
Author | : Rosario Girasa |
Publisher | : Springer Nature |
Total Pages | : 339 |
Release | : 2020-01-11 |
Genre | : Social Science |
ISBN | : 3030359751 |
Artificial intelligence (AI) is the latest technological evolution which is transforming the global economy and is a major part of the “Fourth Industrial Revolution.” This book covers the meaning, types, subfields and applications of AI, including U.S. governmental policies and regulations, ethical and privacy issues, particularly as they pertain and affect facial recognition programs and the Internet-of Things (IoT). There is a lengthy analysis of bias, AI’s effect on the current and future job market, and how AI precipitated fake news. In addition, the text covers basics of intellectual property rights and how AI will transform their protection. The author then moves on to explore international initiatives from the European Union, China’s New Generation Development Plan, other regional areas, and international conventions. The book concludes with a discussion of super intelligence and the question and applicability of consciousness in machines. The interdisciplinary scope of the text will appeal to any scholars, students and general readers interested in the effects of AI on our society, particularly in the fields of STS, economics, law and politics.
Author | : D. Jude Hemanth |
Publisher | : Academic Press |
Total Pages | : 322 |
Release | : 2021-03-30 |
Genre | : Science |
ISBN | : 0128222727 |
Handbook of Decision Support Systems for Neurological Disorders provides readers with complete coverage of advanced computer-aided diagnosis systems for neurological disorders. While computer-aided decision support systems for different medical imaging modalities are available, this is the first book to solely concentrate on decision support systems for neurological disorders. Due to the increase in the prevalence of diseases such as Alzheimer, Parkinson's and Dementia, this book will have significant importance in the medical field. Topics discussed include recent computational approaches, different types of neurological disorders, deep convolution neural networks, generative adversarial networks, auto encoders, recurrent neural networks, and modified/hybrid artificial neural networks. - Includes applications of computer intelligence and decision support systems for the diagnosis and analysis of a variety of neurological disorders - Presents in-depth, technical coverage of computer-aided systems for tumor image classification, Alzheimer's disease detection, dementia detection using deep belief neural networks, and morphological approaches for stroke detection - Covers disease diagnosis for cerebral palsy using auto-encoder approaches, contrast enhancement for performance enhanced diagnosis systems, autism detection using fuzzy logic systems, and autism detection using generative adversarial networks - Written by engineers to help engineers, computer scientists, researchers and clinicians understand the technology and applications of decision support systems for neurological disorders
Author | : Terri L. Tanielian |
Publisher | : Rand Corporation |
Total Pages | : 499 |
Release | : 2008 |
Genre | : Business & Economics |
ISBN | : 0833044540 |
Since October 2001, approximately 1.64 million U.S. troops have been deployed for Operations Enduring Freedom and Iraqi Freedom (OEF/OIF) in Afghanistan and Iraq. Early evidence suggests that the psychological toll of these deployments -- many involving prolonged exposure to combat-related stress over multiple rotations -- may be disproportionately high compared with the physical injuries of combat. In the face of mounting public concern over post-deployment health care issues confronting OEF/OIF veterans, several task forces, independent review groups, and a Presidential Commission have been convened to examine the care of the war wounded and make recommendations. Concerns have been most recently centered on two combat-related injuries in particular: post-traumatic stress disorder and traumatic brain injury. With the increasing incidence of suicide and suicide attempts among returning veterans, concern about depression is also on the rise. The study discussed in this monograph focuses on post-traumatic stress disorder, major depression, and traumatic brain injury, not only because of current high-level policy interest but also because, unlike the physical wounds of war, these conditions are often invisible to the eye, remaining invisible to other servicemembers, family members, and society in general. All three conditions affect mood, thoughts, and behavior; yet these wounds often go unrecognized and unacknowledged. The effect of traumatic brain injury is still poorly understood, leaving a large gap in knowledge related to how extensive the problem is or how to address it. RAND conducted a comprehensive study of the post-deployment health-related needs associated with these three conditions among OEF/OIF veterans, the health care system in place to meet those needs, gaps in the care system, and the costs associated with these conditions and with providing quality health care to all those in need. This monograph presents the results of our study, which should be of interest to mental health treatment providers; health policymakers, particularly those charged with caring for our nation's veterans; and U.S. service men and women, their families, and the concerned public. All the research products from this study are available at http://veterans.rand.org. Data collection for this study began in April 2007and concluded in January 2008. Specific activities included a critical reviewof the extant literature on the prevalence of post-traumatic stress disorder, major depression, and traumatic brain injury and their short- and long-term consequences; a population-based survey of service members and veterans who served in Afghanistan or Iraq to assess health status and symptoms, as well asutilization of and barriers to care; a review of existing programs to treat service members and veterans with the three conditions; focus groups withmilitary service members and their spouses; and the development of a microsimulation model to forecast the economic costs of these conditions overtime. Among our recommendations is that effective treatments documented in the scientific literature -- evidence-based care -- are available for PTSD and major depression. Delivery of such care to all veterans with PTSD or majordepression would pay for itself within two years, or even save money, by improving productivity and reducing medical and mortality costs. Such care may also be a cost-effective way to retain a ready and healthy military force for the future. However, to ensure that this care is delivered requires system-level changes across the Department of Defense, the Department of Veterans Affairs, and the U.S. health care system.
Author | : David Cooperrider |
Publisher | : Berrett-Koehler Publishers |
Total Pages | : 96 |
Release | : 2005-10-10 |
Genre | : Business & Economics |
ISBN | : 160509692X |
Written by the two most recognized Appreciative Inquiry thought leaders A quick, accessible introduction to one of the most popular change methods today--proven effective in organizations ranging from Roadway Express and British Airways to the United Nations and the United States Navy Appreciative Inquiry (AI) is a model of change management uniquely suited to the values, beliefs, and challenges of organizations today. AI is a process that emphasizes identifying and building on strengths, rather than focusing exclusively on fixing weaknesses as most other change processes do. As the stories in this book illustrate, it results in dramatic improvements in the triple bottom line: people, profits, and planet. AI has been used to significantly enhance customer satisfaction, cost competitiveness, revenues, profits, and employee engagement, retention, and morale, as well as organizations' abilities to meet the needs of society. This book is a concise introduction to Appreciative Inquiry. It provides a basic overview of the process and principles of AI along with exciting stories illustrating how organizations have applied AI and the benefits they have gained as a result. It has been specifically designed to be accessible to a wide audience so that it can be handed out in organizations where AI is either being contemplated or being implemented. Written by two of the key figures in the development of Appreciative Inquiry, this is the most authoritative guide available to a change method that systematically taps the potential of human beings to make themselves, their organizations, and their communities more adaptive and more effective.
Author | : Mike Slade |
Publisher | : Cambridge University Press |
Total Pages | : 289 |
Release | : 2009-05-28 |
Genre | : Medical |
ISBN | : 0521746582 |
Focuses on a shift away from traditional clinical preoccupations towards new priorities of supporting the patient.
Author | : Ryan Abbott |
Publisher | : Cambridge University Press |
Total Pages | : 165 |
Release | : 2020-06-25 |
Genre | : Business & Economics |
ISBN | : 1108472125 |
Argues that treating people and artificial intelligence differently under the law results in unexpected and harmful outcomes for social welfare.
Author | : Miao, Fengchun |
Publisher | : UNESCO Publishing |
Total Pages | : 50 |
Release | : 2021-04-08 |
Genre | : Political Science |
ISBN | : 9231004476 |
Artificial Intelligence (AI) has the potential to address some of the biggest challenges in education today, innovate teaching and learning practices, and ultimately accelerate the progress towards SDG 4. However, these rapid technological developments inevitably bring multiple risks and challenges, which have so far outpaced policy debates and regulatory frameworks. This publication offers guidance for policy-makers on how best to leverage the opportunities and address the risks, presented by the growing connection between AI and education. It starts with the essentials of AI: definitions, techniques and technologies. It continues with a detailed analysis of the emerging trends and implications of AI for teaching and learning, including how we can ensure the ethical, inclusive and equitable use of AI in education, how education can prepare humans to live and work with AI, and how AI can be applied to enhance education. It finally introduces the challenges of harnessing AI to achieve SDG 4 and offers concrete actionable recommendations for policy-makers to plan policies and programmes for local contexts. [Publisher summary, ed]