Download or read book Human Intelligence and Medical Illness written by R. Grant Steen and published by Springer Science & Business Media. This book was released on 2009-09-16 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: As critics will note, psychometric tests are deeply flawed. Person-to-person differences in performance on a psychometric test are not informative about many things of great interest. An intelligence quotient (IQ) cannot characterize creativity or w- dom or artistic ability or other forms of specialized knowledge. An IQ test is simply an effort to assess an aptitude for success in the modern world, and individual scores do a mediocre job of predicting individual successes. In the early days of psychology, tests of intelligence were cobbled together with little thought as to validity; instead, the socially powerful sought to validate their power and the prominent to rationalize their success. In recent years, we have ob- ated many of the objections to IQ that were so forcefully noted by Stephen Jay Gould in The Mismeasure of Man. Nevertheless, IQ tests are still flawed and those flaws are hereby acknowledged in principle. Yet, in the analysis that follows, individual IQ test scores are not used; rather, average IQ scores are employed. In many cases – though not all – an average IQ is calculated from a truly enormous sample of people. The most common circ- stance for such large-scale IQ testing is an effort to systematically sample all men of a certain age, to assess their suitability for service in the military. Yet, it is useful and prudent to retain some degree of skepticism about the ability of IQ tests to measure individual aptitudes.

Download or read book Deep Medicine written by Eric Topol and published by Basic Books. This book was released on 2019-03-12 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Science Friday pick for book of the year, 2019 One of America's top doctors reveals how AI will empower physicians and revolutionize patient care Medicine has become inhuman, to disastrous effect. The doctor-patient relationship--the heart of medicine--is broken: doctors are too distracted and overwhelmed to truly connect with their patients, and medical errors and misdiagnoses abound. In Deep Medicine, leading physician Eric Topol reveals how artificial intelligence can help. AI has the potential to transform everything doctors do, from notetaking and medical scans to diagnosis and treatment, greatly cutting down the cost of medicine and reducing human mortality. By freeing physicians from the tasks that interfere with human connection, AI will create space for the real healing that takes place between a doctor who can listen and a patient who needs to be heard. Innovative, provocative, and hopeful, Deep Medicine shows us how the awesome power of AI can make medicine better, for all the humans involved.

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

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

Download or read book Machine Learning for Health Informatics written by Andreas Holzinger and published by Springer. This book was released on 2016-12-09 with total page 503 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning (ML) is the fastest growing field in computer science, and Health Informatics (HI) is amongst the greatest application challenges, providing future benefits in improved medical diagnoses, disease analyses, and pharmaceutical development. However, successful ML for HI needs a concerted effort, fostering integrative research between experts ranging from diverse disciplines from data science to visualization. Tackling complex challenges needs both disciplinary excellence and cross-disciplinary networking without any boundaries. Following the HCI-KDD approach, in combining the best of two worlds, it is aimed to support human intelligence with machine intelligence. This state-of-the-art survey is an output of the international HCI-KDD expert network and features 22 carefully selected and peer-reviewed chapters on hot topics in machine learning for health informatics; they discuss open problems and future challenges in order to stimulate further research and international progress in this field.

Download or read book Making Augmented Human Intelligence in Medicine Practical A Case Study of Treating Major Depressive Disorder written by Arjun Prasanna Athreya and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Smart Health written by Andreas Holzinger and published by Springer. This book was released on 2015-02-24 with total page 283 pages. Available in PDF, EPUB and Kindle. Book excerpt: Prolonged life expectancy along with the increasing complexity of medicine and health services raises health costs worldwide dramatically. Whilst the smart health concept has much potential to support the concept of the emerging P4-medicine (preventive, participatory, predictive, and personalized), such high-tech medicine produces large amounts of high-dimensional, weakly-structured data sets and massive amounts of unstructured information. All these technological approaches along with “big data” are turning the medical sciences into a data-intensive science. To keep pace with the growing amounts of complex data, smart hospital approaches are a commandment of the future, necessitating context aware computing along with advanced interaction paradigms in new physical-digital ecosystems. The very successful synergistic combination of methodologies and approaches from Human-Computer Interaction (HCI) and Knowledge Discovery and Data Mining (KDD) offers ideal conditions for the vision to support human intelligence with machine learning. The papers selected for this volume focus on hot topics in smart health; they discuss open problems and future challenges in order to provide a research agenda to stimulate further research and progress.

Download or read book Artificial Intelligence in Medicine written by David Riaño and published by Springer. This book was released on 2019-06-19 with total page 431 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 17th Conference on Artificial Intelligence in Medicine, AIME 2019, held in Poznan, Poland, in June 2019. The 22 revised full and 31 short papers presented were carefully reviewed and selected from 134 submissions. The papers are organized in the following topical sections: deep learning; simulation; knowledge representation; probabilistic models; behavior monitoring; clustering, natural language processing, and decision support; feature selection; image processing; general machine learning; and unsupervised learning.

Download or read book Smart Health written by Andreas Holzinger and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Prolonged life expectancy along with the increasing complexity of medicine and health services raises health costs worldwide dramatically. Whilst the smart health concept has much potential to support the concept of the emerging P4-medicine (preventive, participatory, predictive, and personalized), such high-tech medicine produces large amounts of high-dimensional, weakly-structured data sets and massive amounts of unstructured information. All these technological approaches along with "big data" are turning the medical sciences into a data-intensive science. To keep pace with the growing amounts of complex data, smart hospital approaches are a commandment of the future, necessitating context aware computing along with advanced interaction paradigms in new physical-digital ecosystems. The very successful synergistic combination of methodologies and approaches from Human-Computer Interaction (HCI) and Knowledge Discovery and Data Mining (KDD) offers ideal conditions for the vision to support human intelligence with machine learning. The papers selected for this volume focus on hot topics in smart health; they discuss open problems and future challenges in order to provide a research agenda to stimulate further research and progress.

Download or read book Birth of Intelligence written by Daeyeol Lee and published by Oxford University Press, USA. This book was released on 2020 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: What is intelligence? How did it begin and evolve to human intelligence? Does a high level of biological intelligence require a complex brain? Can man-made machines be truly intelligent? Is AI fundamentally different from human intelligence? In Birth of Intelligence, distinguished neuroscientist Daeyeol Lee tackles these pressing fundamental issues. To better prepare for future society and its technology, including how the use of AI will impact our lives, it is essential to understand the biological root and limits of human intelligence. After systematically reviewing biological and computational underpinnings of decision making and intelligent behaviors, Birth of Intelligence proposes that true intelligence requires life.

Download or read book Reinventing Clinical Decision Support written by Paul Cerrato and published by Taylor & Francis. This book was released on 2020-01-06 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book takes an in-depth look at the emerging technologies that are transforming the way clinicians manage patients, while at the same time emphasizing that the best practitioners use both artificial and human intelligence to make decisions. AI and machine learning are explored at length, with plain clinical English explanations of convolutional neural networks, back propagation, and digital image analysis. Real-world examples of how these tools are being employed are also discussed, including their value in diagnosing diabetic retinopathy, melanoma, breast cancer, cancer metastasis, and colorectal cancer, as well as in managing severe sepsis. With all the enthusiasm about AI and machine learning, it was also necessary to outline some of criticisms, obstacles, and limitations of these new tools. Among the criticisms discussed: the relative lack of hard scientific evidence supporting some of the latest algorithms and the so-called black box problem. A chapter on data analytics takes a deep dive into new ways to conduct subgroup analysis and how it’s forcing healthcare executives to rethink the way they apply the results of large clinical trials to everyday medical practice. This re-evaluation is slowly affecting the way diabetes, heart disease, hypertension, and cancer are treated. The research discussed also suggests that data analytics will impact emergency medicine, medication management, and healthcare costs. An examination of the diagnostic reasoning process itself looks at how diagnostic errors are measured, what technological and cognitive errors are to blame, and what solutions are most likely to improve the process. It explores Type 1 and Type 2 reasoning methods; cognitive mistakes like availability bias, affective bias, and anchoring; and potential solutions such as the Human Diagnosis Project. Finally, the book explores the role of systems biology and precision medicine in clinical decision support and provides several case studies of how next generation AI is transforming patient care.

Download or read book Artificial and Human Intelligence in Healthcare written by Maithra Raghu and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: With the fundamental breakthroughs in artificial intelligence and the significant increase of digital healthcare data, there's been enormous interest in AI for healthcare applications. One rapidly developing area is the use of deep neural networks for medical imaging, with applications ranging from diagnosing chest X-rays to the early detection of Alzheimer's to identifying cancer in pathology slides. Despite this variety of applications, there remain some crucial unanswered questions. On the methods side, there's been a premature convergence on a specific model-development strategy: deep neural networks are first trained on natural image data, and then fine-tuned (transferred) to work on the medical data. Maithra Raghu (Cornell University Google Brain) explores this process and shows that contrary to conventional wisdom, this standard method of model development isn't guaranteed to provide the benefits it's believed to, and she suggests simple and effective alternate methodologies. On the applications side, there's been little exploration of the interaction of these medical AI algorithms with human experts, with existing literature typically evaluating the algorithm in isolation and the human experts in isolation-vastly different from a realistic deployment scenario. Maithra examines the essential question-the role of human experts-which provides new, crucial prediction problems to study and significant benefits through the effective combination of artificial and human intelligence. Prerequisite knowledge General knowledge of developing machine learning models (specifically deep neural networks) (useful but not required) What you'll learn Learn the standard methods for developing algorithms (deep neural networks) for medical imaging applications and ways to improve these, as well as places where conventional beliefs might be misleading See typical possible deployment scenarios for these technologies and the kinds of challenges and benefits that arise through interaction with human experts This session is from the 2019 O'Reilly Artificial Intelligence Conference in San Jose, CA.

Download or read book Future Information Technology written by James J. (Jong Hyuk) Park and published by Springer Science & Business Media. This book was released on 2013-08-23 with total page 479 pages. Available in PDF, EPUB and Kindle. Book excerpt: Future technology information technology stands for all of continuously evolving and converging information technologies, including digital convergence, multimedia convergence, intelligent applications, embedded systems, mobile and wireless communications, bio-inspired computing, grid and cloud computing, semantic web, user experience and HCI, security and trust computing and so on, for satisfying our ever-changing needs. In past twenty five years or so, Information Technology (IT) influenced and changed every aspect of our lives and our cultures. These proceedings foster the dissemination of state-of-the-art research in all future IT areas, including their models, services, and novel applications associated with their utilization.

Download or read book AI and Developing Human Intelligence written by John Senior and published by Routledge. This book was released on 2021-09-16 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the relationship between AI machines and humans develops, we ask what it will mean to be an intelligent learner in an emerging, socio-dynamic learningscape. The need for a new global view of intelligence and education is the core discussion of this future-focussed collection of ideas, questions, and activities for learners to explore. This fascinating guide offers activities to understand what needs to be changed in our educations systems and our view of intelligence. As well as exploring AI, HI, the future of learning and caring for all learners, this book addresses fundamental questions such as: How do we educate ourselves for an increasingly uncertain future? What is the purpose of intelligence? How can a curriculum focussing on human curiosity and creativity be created? Who are we and what are we becoming? What will we invent now that AI exists? AI and Developing Human Intelligence will interest you, inform you, and empower your understanding of "intelligence" and where we are going on the next part of our journey in understanding what it is to be human now and tomorrow.

Download or read book Losing Our Minds written by Barbara Demeneix and published by Oxford University Press, USA. This book was released on 2014 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: The exponential increases in neurodevelopmental disorders implicate both genetic causes and environmental factors. Flame-retardants, pesticides, plasticizers, and other every-day products contain chemicals shown to affect thyroid hormone signaling, which if disrupted can result in significant impairment to IQ. Across entire populations, such effects spell large-scale social and economic consequences. In this book Barbara Demeneix suggests what can and must be done to halt and reverse this disturbing trend.

Download or read book The Medicalization of Society written by Peter Conrad and published by JHU Press. This book was released on 2007-06-11 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the past half-century, the social terrain of health and illness has been transformed. What were once considered normal human events and common human problems—birth, aging, menopause, alcoholism, and obesity—are now viewed as medical conditions. For better or worse, medicine increasingly permeates aspects of daily life. Building on more than three decades of research, Peter Conrad explores the changing forces behind this trend with case studies of short stature, social anxiety, "male menopause," erectile dysfunction, adult ADHD, and sexual orientation. He examines the emergence of and changes in medicalization, the consequences of the expanding medical domain, and the implications for health and society. He finds in recent developments—such as the growing number of possible diagnoses and biomedical enhancements—the future direction of medicalization. Conrad contends that the impact of medical professionals on medicalization has diminished. Instead, the pharmaceutical and biotechnical industries, insurance companies and HMOs, and the patient as consumer have become the major forces promoting medicalization. This thought-provoking study offers valuable insight into not only how medicalization got to this point but also how it may continue to evolve.

Download or read book AI First Healthcare written by Kerrie L. Holley and published by "O'Reilly Media, Inc.". This book was released on 2021-04-19 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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