Can Artificial Intelligence And Big Data Analytics Save The Future Of Psychiatry

Download Can Artificial Intelligence And Big Data Analytics Save The Future Of Psychiatry full books in PDF, epub, and Kindle. Read online Can Artificial Intelligence And Big Data Analytics Save The Future Of Psychiatry ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Can Artificial Intelligence and Big Data Analytics Save the Future of Psychiatry?

Author : A George Awad
Publisher : iUniverse
ISBN 13 : 9781663252678
Total Pages : 0 pages
Book Rating : 4.2/5 (526 download)

DOWNLOAD NOW!

Book Synopsis Can Artificial Intelligence and Big Data Analytics Save the Future of Psychiatry? by : A George Awad

Download or read book Can Artificial Intelligence and Big Data Analytics Save the Future of Psychiatry? written by A George Awad and published by iUniverse. This book was released on 2023-04-26 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the second of the series about the imperatives for the search for new psychiatry. As stated in my recent 2021 book about: The Search for New Psychiatry, current psychiatric practices have failed many: patients and their families, their doctors and the society at large. That was the end of the 2021 book and the beginning of this book as a follow up in search for pathways to a new and more effective science-based practice Based on its major contributions to the recent successful and expedient development of the Covid 19 vaccines, I am proposing the same pathway of using the new revolution in informatics as the way to save and secure the future of psychiatry and that is what I am recommending in this book reaping the benefit of AI and Big Data Analytics but with a wide open eye on its limits, reliability, risks, unforeseen or unintentional harms. Part Two of the book deals with a number of perineal and also new challenges that continue to require better understanding and resolution. Among the phenomenological and nosological challenges, the recent development by Neurology of its subspeciality of Behavioral Neurology in competition to Neuropsychiatry, is reviewed in terms of an opportunity for integration of the tow subspecialities towards the creation of a new third field of "Clinical Neurosciences". Other challenges included are: The Subjective /Objective Dichotomy, Lunacy and the Moon- reflections on the interactions of the brain and environment and Woke Psychiatry, what is it? Several other clinical challenges include: The Past is Coming Back as The Future -The Rise, Fall and Rise Again of Psychedelics, Loneliness as the silent disorder and several other challenges. At the end, a postscript has been hastily added in memory of a close friend, a pioneering psychopharmacologist but above all an empathic humanist, Professor Thomas Arthur Ban or as he always preferred, Tom.

Can Artificial Intelligence and Big Data Analytics Save the Future of Psychiatry?

Author : A. George Awad
Publisher : iUniverse
ISBN 13 : 1663252688
Total Pages : 193 pages
Book Rating : 4.6/5 (632 download)

DOWNLOAD NOW!

Book Synopsis Can Artificial Intelligence and Big Data Analytics Save the Future of Psychiatry? by : A. George Awad

Download or read book Can Artificial Intelligence and Big Data Analytics Save the Future of Psychiatry? written by A. George Awad and published by iUniverse. This book was released on 2023-04-26 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the second of the series about the imperatives for the search for new psychiatry. As stated in my recent 2021 book about: The Search for New Psychiatry, current psychiatric practices have failed many: patients and their families, their doctors and the society at large. That was the end of the 2021 book and the beginning of this book as a follow up in search for pathways to a new and more effective science-based practice Based on its major contributions to the recent successful and expedient development of the Covid 19 vaccines, I am proposing the same pathway of using the new revolution in informatics as the way to save and secure the future of psychiatry and that is what I am recommending in this book reaping the benefit of AI and Big Data Analytics but with a wide open eye on its limits, reliability, risks, unforeseen or unintentional harms. Part Two of the book deals with a number of perineal and also new challenges that continue to require better understanding and resolution. Among the phenomenological and nosological challenges, the recent development by Neurology of its subspeciality of Behavioral Neurology in competition to Neuropsychiatry, is reviewed in terms of an opportunity for integration of the tow subspecialities towards the creation of a new third field of “Clinical Neurosciences”. Other challenges included are: The Subjective /Objective Dichotomy, Lunacy and the Moon- reflections on the interactions of the brain and environment and Woke Psychiatry, what is it? Several other clinical challenges include: The Past is Coming Back as The Future -The Rise, Fall and Rise Again of Psychedelics, Loneliness as the silent disorder and several other challenges. At the end, a postscript has been hastily added in memory of a close friend, a pioneering psychopharmacologist but above all an empathic humanist, Professor Thomas Arthur Ban or as he always preferred, Tom.

Predictive Analytics of Psychological Disorders in Healthcare

Author : Mamta Mittal
Publisher : Springer Nature
ISBN 13 : 9811917248
Total Pages : 310 pages
Book Rating : 4.8/5 (119 download)

DOWNLOAD NOW!

Book Synopsis Predictive Analytics of Psychological Disorders in Healthcare by : Mamta Mittal

Download or read book Predictive Analytics of Psychological Disorders in Healthcare written by Mamta Mittal and published by Springer Nature. This book was released on 2022-05-20 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses an interdisciplinary field which combines two major domains: healthcare and data analytics. It presents research studies by experts helping to fight discontent, distress, anxiety and unrealized potential by using mathematical models, machine learning, artificial intelligence, etc. and take preventive measures beforehand. Psychological disorders and biological abnormalities are significantly related with the applications of cognitive illnesses which has increased significantly in contemporary years and needs rapid investigation. The research content of this book is helpful for psychological undergraduates, health workers and their trainees, therapists, medical psychologists, and nurses.

Artificial Intelligence and Mental Health Care

Author : Jorge Piano Simoes
Publisher : Frontiers Media SA
ISBN 13 : 2832553036
Total Pages : 141 pages
Book Rating : 4.8/5 (325 download)

DOWNLOAD NOW!

Book Synopsis Artificial Intelligence and Mental Health Care by : Jorge Piano Simoes

Download or read book Artificial Intelligence and Mental Health Care written by Jorge Piano Simoes and published by Frontiers Media SA. This book was released on 2024-08-09 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: New developments in machine learning (ML) and artificial intelligence (AI) hold great promise to revolutionize mental health care. In this context, ML and AI have been deployed for several different goals, including 1) the early detection of mental disorders, 2) the optimization of personalized treatments based on the individual characteristics of patients, 3) the better characterization of disorders detrimental to mental well-being and quality of life, as well as a better description of projected trajectories over time, and 4) the development of new treatments for mental health care. Despite their great potential to transform mental health care and occasional breakthroughs, ML and AI have not yet fully achieved these goals. This research topic aims to bridge the gap between the potential uses of ML and AI and their practical application in standard mental health care. More specifically, we welcome original research submissions applying ML and AI to promote public health by reducing the burden of chronic disorders with detrimental effects on well-being (e.g., psychopathological distress), and improving quality of life. We also welcome submissions applying ML and AI in heterogeneous datasets (e.g., subjective scales and questionnaires, biomarkers, (neuro)psychological assessments, etc.) from Big Data sources (e.g., large datasets of clinical populations, electronic health records from nationally representative cohorts, and/or biobanks, studies using experiencing sampling methods, etc.) to gain mechanistic insight on how different chronic conditions associated with psychopathological distress can affect patient well-being and quality of life. Finally, we also welcome opinion papers and reviews on how to develop AI applications in mental health care responsibly, while integrating biopsychosocial aspects of patients to promote better mental health care.

Artificial Intelligence in Brain and Mental Health: Philosophical, Ethical & Policy Issues

Author : Fabrice Jotterand
Publisher : Springer Nature
ISBN 13 : 3030741885
Total Pages : 270 pages
Book Rating : 4.0/5 (37 download)

DOWNLOAD NOW!

Book Synopsis Artificial Intelligence in Brain and Mental Health: Philosophical, Ethical & Policy Issues by : Fabrice Jotterand

Download or read book Artificial Intelligence in Brain and Mental Health: Philosophical, Ethical & Policy Issues written by Fabrice Jotterand and published by Springer Nature. This book was released on 2022-02-11 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

AI in Psychiatry: The Ultimate Guide to Responsible and Ethical Implementation

Author : Lauro Amezcua-Patino, MD, FAPA
Publisher : Metropolitan Consulting Corporation
ISBN 13 :
Total Pages : 76 pages
Book Rating : 4./5 ( download)

DOWNLOAD NOW!

Book Synopsis AI in Psychiatry: The Ultimate Guide to Responsible and Ethical Implementation by : Lauro Amezcua-Patino, MD, FAPA

Download or read book AI in Psychiatry: The Ultimate Guide to Responsible and Ethical Implementation written by Lauro Amezcua-Patino, MD, FAPA and published by Metropolitan Consulting Corporation. This book was released on 2023-09-10 with total page 76 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Transforming Healthcare with Big Data and AI

Author : Mingbo Gong
Publisher : IAP
ISBN 13 : 1641138998
Total Pages : 185 pages
Book Rating : 4.6/5 (411 download)

DOWNLOAD NOW!

Book Synopsis Transforming Healthcare with Big Data and AI by : Mingbo Gong

Download or read book Transforming Healthcare with Big Data and AI written by Mingbo Gong and published by IAP. This book was released on 2020-04-01 with total page 185 pages. Available in PDF, EPUB and Kindle. Book excerpt: Healthcare and technology are at a convergence point where significant changes are poised to take place. The vast and complex requirements of medical record keeping, coupled with stringent patient privacy laws, create an incredibly unwieldy maze of health data needs. While the past decade has seen giant leaps in AI, machine learning, wearable technologies, and data mining capacities that have enabled quantities of data to be accumulated, processed, and shared around the globe. Transforming Healthcare with Big Data and AI examines the crossroads of these two fields and looks to the future of leveraging advanced technologies and developing data ecosystems to the healthcare field. This book is the product of the Transforming Healthcare with Data conference, held at the University of Southern California. Many speakers and digital healthcare industry leaders contributed multidisciplinary expertise to chapters in this work. Authors’ backgrounds range from data scientists, healthcare experts, university professors, and digital healthcare entrepreneurs. If you have an understanding of data technologies and are interested in the future of Big Data and A.I. in healthcare, this book will provide a wealth of insights into the new landscape of healthcare.

Machine Learning and Data Analytics for Predicting, Managing, and Monitoring Disease

Author : Roy, Manikant
Publisher : IGI Global
ISBN 13 : 1799871908
Total Pages : 241 pages
Book Rating : 4.7/5 (998 download)

DOWNLOAD NOW!

Book Synopsis Machine Learning and Data Analytics for Predicting, Managing, and Monitoring Disease by : Roy, Manikant

Download or read book Machine Learning and Data Analytics for Predicting, Managing, and Monitoring Disease written by Roy, Manikant and published by IGI Global. This book was released on 2021-06-25 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data analytics is proving to be an ally for epidemiologists as they join forces with data scientists to address the scale of crises. Analytics examined from many sources can derive insights and be used to study and fight global outbreaks. Pandemic analytics is a modern way to combat a problem as old as humanity itself: the proliferation of disease. Machine Learning and Data Analytics for Predicting, Managing, and Monitoring Disease explores different types of data and discusses how to prepare data for analysis, perform simple statistical analyses, create meaningful data visualizations, predict future trends from data, and more by applying cutting edge technology such as machine learning and data analytics in the wake of the COVID-19 pandemic. Covering a range of topics such as mental health analytics during COVID-19, data analysis and machine learning using Python, and statistical model development and deployment, it is ideal for researchers, academicians, data scientists, technologists, data analysts, diagnosticians, healthcare professionals, computer scientists, and students.

Artificial Intelligence in Behavioral and Mental Health Care

Author : David D. Luxton
Publisher : Academic Press
ISBN 13 : 0128007923
Total Pages : 309 pages
Book Rating : 4.1/5 (28 download)

DOWNLOAD NOW!

Book Synopsis Artificial Intelligence in Behavioral and Mental Health Care by : David D. Luxton

Download or read book Artificial Intelligence in Behavioral and Mental Health Care written by David D. Luxton and published by Academic Press. This book was released on 2015-09-10 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach

Author : Aboul-Ella Hassanien
Publisher : Springer Nature
ISBN 13 : 3030552586
Total Pages : 307 pages
Book Rating : 4.0/5 (35 download)

DOWNLOAD NOW!

Book Synopsis Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach by : Aboul-Ella Hassanien

Download or read book Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach written by Aboul-Ella Hassanien and published by Springer Nature. This book was released on 2020-10-12 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes research articles and expository papers on the applications of artificial intelligence and big data analytics to battle the pandemic. In the context of COVID-19, this book focuses on how big data analytic and artificial intelligence help fight COVID-19. The book is divided into four parts. The first part discusses the forecasting and visualization of the COVID-19 data. The second part describes applications of artificial intelligence in the COVID-19 diagnosis of chest X-Ray imaging. The third part discusses the insights of artificial intelligence to stop spread of COVID-19, while the last part presents deep learning and big data analytics which help fight the COVID-19.

Artificial Intelligence, Machine Learning, and Mental Health in Pandemics

Author : Shikha Jain
Publisher : Academic Press
ISBN 13 : 0323915558
Total Pages : 420 pages
Book Rating : 4.3/5 (239 download)

DOWNLOAD NOW!

Book Synopsis Artificial Intelligence, Machine Learning, and Mental Health in Pandemics by : Shikha Jain

Download or read book Artificial Intelligence, Machine Learning, and Mental Health in Pandemics written by Shikha Jain and published by Academic Press. This book was released on 2022-04-22 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

The Future of Psychology

Author : Rosey Press
Publisher : Independently Published
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.3/5 (287 download)

DOWNLOAD NOW!

Book Synopsis The Future of Psychology by : Rosey Press

Download or read book The Future of Psychology written by Rosey Press and published by Independently Published. This book was released on 2024-06-18 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence (AI) has rapidly evolved in recent years, making a significant impact on the field of psychology. With the development of AI-powered diagnostic tools for mental health professionals, therapists and counselors now have access to more accurate and efficient methods of assessing and treating psychological disorders. These tools use advanced algorithms to analyze patient data and provide personalized treatment plans, leading to improved outcomes and treatment efficacy. One of the most exciting developments in AI for psychology professionals is the use of AI chatbots for therapy and counseling services. These virtual assistants are able to engage with patients in real-time, providing support and guidance whenever it is needed. AI chatbots can also track patient progress and provide valuable insights to therapists, helping them to tailor their treatment plans accordingly. In addition to AI chatbots, AI-driven cognitive behavioral therapy programs have also revolutionized the way psychological disorders are treated. These programs use advanced algorithms to analyze patient behavior and provide personalized interventions, leading to more effective treatment outcomes. AI-based emotional intelligence assessments have also been developed, allowing professionals to gain deeper insights into patients' emotional states and tailor their treatment plans accordingly. AI algorithms have also been instrumental in predicting patient behavior and detecting psychological disorders at an early stage. By analyzing large amounts of patient data, AI tools are able to identify patterns and trends that may indicate the presence of a psychological disorder. This early detection allows for prompt intervention and treatment, leading to improved patient outcomes. AI applications have also been used to enhance virtual reality therapy experiences, providing patients with immersive and personalized treatment options. AI-powered mental health monitoring and intervention systems have also been developed, allowing professionals to track patient progress in real-time and intervene when necessary. Overall, the evolution of artificial intelligence in psychology has revolutionized the field, providing professionals with powerful tools to improve patient outcomes and treatment efficacy.

Trends of Artificial Intelligence and Big Data for E-Health

Author : Houneida Sakly
Publisher : Springer Nature
ISBN 13 : 3031111990
Total Pages : 256 pages
Book Rating : 4.0/5 (311 download)

DOWNLOAD NOW!

Book Synopsis Trends of Artificial Intelligence and Big Data for E-Health by : Houneida Sakly

Download or read book Trends of Artificial Intelligence and Big Data for E-Health written by Houneida Sakly and published by Springer Nature. This book was released on 2023-01-01 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to present the impact of Artificial Intelligence (AI) and Big Data in healthcare for medical decision making and data analysis in myriad fields including Radiology, Radiomics, Radiogenomics, Oncology, Pharmacology, COVID-19 prognosis, Cardiac imaging, Neuroradiology, Psychiatry and others. This will include topics such as Artificial Intelligence of Thing (AIOT), Explainable Artificial Intelligence (XAI), Distributed learning, Blockchain of Internet of Things (BIOT), Cybersecurity, and Internet of (Medical) Things (IoTs). Healthcare providers will learn how to leverage Big Data analytics and AI as methodology for accurate analysis based on their clinical data repositories and clinical decision support. The capacity to recognize patterns and transform large amounts of data into usable information for precision medicine assists healthcare professionals in achieving these objectives. Intelligent Health has the potential to monitor patients at risk with underlying conditions and track their progress during therapy. Some of the greatest challenges in using these technologies are based on legal and ethical concerns of using medical data and adequately representing and servicing disparate patient populations. One major potential benefit of this technology is to make health systems more sustainable and standardized. Privacy and data security, establishing protocols, appropriate governance, and improving technologies will be among the crucial priorities for Digital Transformation in Healthcare.

Artificial Intelligence in Brain and Mental Health: Philosophical, Ethical & Policy Issues

Author : Fabrice Jotterand
Publisher :
ISBN 13 : 9783030741891
Total Pages : 0 pages
Book Rating : 4.7/5 (418 download)

DOWNLOAD NOW!

Book Synopsis Artificial Intelligence in Brain and Mental Health: Philosophical, Ethical & Policy Issues by : Fabrice Jotterand

Download or read book Artificial Intelligence in Brain and Mental Health: Philosophical, Ethical & Policy Issues written by Fabrice Jotterand and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Artificial Psychology

Author : James A. Crowder
Publisher : Springer
ISBN 13 : 3030170810
Total Pages : 169 pages
Book Rating : 4.0/5 (31 download)

DOWNLOAD NOW!

Book Synopsis Artificial Psychology by : James A. Crowder

Download or read book Artificial Psychology written by James A. Crowder and published by Springer. This book was released on 2019-05-21 with total page 169 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores the subject of artificial psychology and how the field must adapt human neuro-psychological testing techniques to provide adequate cognitive testing of advanced artificial intelligence systems. It shows how classical testing methods will reveal nothing about the cognitive nature of the systems and whether they are learning, reasoning, and evolving correctly; for these systems, the authors outline how testing techniques similar to/adapted from human psychological testing must be adopted, particularly in understanding how the system reacts to failure or relearning something it has learned incorrectly or inferred incorrectly. The authors provide insights into future architectures/capabilities that artificial cognitive systems will possess and how we can evaluate how well they are functioning. It discusses at length the notion of human/AI communication and collaboration and explores such topics as knowledge development, knowledge modeling and ambiguity management, artificial cognition and self-evolution of learning, artificial brain components and cognitive architecture, and artificial psychological modeling. Explores the concepts of Artificial Psychology and Artificial Neuroscience as applied to advanced artificially cognitive systems; Provides insight into the world of cognitive architectures and biologically-based computing designs which will mimic human brain functionality in artificial intelligent systems of the future; Provides description and design of artificial psychological modeling to provide insight into how advanced artificial intelligent systems are learning and evolving; Explores artificial reasoning and inference architectures and the types of modeling and testing that will be required to "trust" an autonomous artificial intelligent systems.

Artificial Intelligence in Healthcare

Author : Adam Bohr
Publisher : Academic Press
ISBN 13 : 0128184396
Total Pages : 385 pages
Book Rating : 4.1/5 (281 download)

DOWNLOAD NOW!

Book Synopsis Artificial Intelligence in Healthcare by : Adam Bohr

Download or read book Artificial Intelligence in Healthcare written by Adam Bohr and published by Academic Press. This book was released on 2020-06-21 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Big Data and Artificial Intelligence for Healthcare Applications

Author : Ankur Saxena
Publisher :
ISBN 13 : 9780367554958
Total Pages : 272 pages
Book Rating : 4.5/5 (549 download)

DOWNLOAD NOW!

Book Synopsis Big Data and Artificial Intelligence for Healthcare Applications by : Ankur Saxena

Download or read book Big Data and Artificial Intelligence for Healthcare Applications written by Ankur Saxena and published by . This book was released on 2021 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers a wide range of topics on the role of Artificial Intelligence, Machine Learning, and Big Data for healthcare applications and deals with the ethical issues and concerns associated with it. This book explores the applications in different areas of healthcare and highlights the current research. The book covers healthcare big data analytics, mobile health and personalized medicine, clinical trial data management and presents how Artificial Intelligence can be used for early disease diagnosis prediction and prognosis. It also offers some case studies that describes the application of Artificial Intelligence and Machine Learning in healthcare. This book will be useful for researchers, healthcare professionals, data scientists, systems engineers, students, programmers, clinicians, and policymakers.