The Ethical Governance Of Artificial Intelligence And Machine Learning In Healthcare

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The Ethical Governance of Artificial Intelligence and Machine Learning in Healthcare

Author : Tina Nguyen
Publisher : Ethics International Press
ISBN 13 : 180441106X
Total Pages : 229 pages
Book Rating : 4.8/5 (44 download)

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Book Synopsis The Ethical Governance of Artificial Intelligence and Machine Learning in Healthcare by : Tina Nguyen

Download or read book The Ethical Governance of Artificial Intelligence and Machine Learning in Healthcare written by Tina Nguyen and published by Ethics International Press. This book was released on 2023-03-21 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores the ethical governance of Artificial Intelligence (AI) & Machine Learning (ML) in healthcare. AI/ML usage in healthcare as well as our daily lives is not new. However, the direct, and oftentimes long-term effects of current technologies, in addition to the onset of future innovations, have caused much debate about the safety of AI/ML. On the one hand, AI/ML has the potential to provide effective and efficient care to patients, and this sways the argument in favor of continuing to use AI/ML; but on the other hand, the dangers (including unforeseen future consequences of the further development of the technology) leads to vehement disagreement with further AI/ML usage. Due to its potential for beneficial outcomes, the book opts to push for ethical AI/ML to be developed and examines various areas in healthcare, such as big data analytics and clinical decision-making, to uncover and discuss the importance of developing ethical governance for AI/ML in this setting.

Ethics and governance of artificial intelligence for health

Author :
Publisher : World Health Organization
ISBN 13 : 9240029206
Total Pages : 165 pages
Book Rating : 4.2/5 (4 download)

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Book Synopsis Ethics and governance of artificial intelligence for health by :

Download or read book Ethics and governance of artificial intelligence for health written by and published by World Health Organization. This book was released on 2021-06-28 with total page 165 pages. Available in PDF, EPUB and Kindle. Book excerpt: This WHO Guidance document discusses ethical and governance issues as they arise in the use of artificial intelligence (AI) for health. It contains a set of principles, recommendations, and checklists for selected end-users. The target audience is Ministries of Health, AI developers, health care workers, and industry.

Artificial Intelligence in Healthcare

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

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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

Machine Learning and AI for Healthcare

Author : Arjun Panesar
Publisher : Apress
ISBN 13 : 1484237994
Total Pages : 390 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Machine Learning and AI for Healthcare by : Arjun Panesar

Download or read book Machine Learning and AI for Healthcare written by Arjun Panesar and published by Apress. This book was released on 2019-02-04 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore the theory and practical applications of artificial intelligence (AI) and machine learning in healthcare. This book offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare and big data challenges. You’ll discover the ethical implications of healthcare data analytics and the future of AI in population and patient health optimization. You’ll also create a machine learning model, evaluate performance and operationalize its outcomes within your organization. Machine Learning and AI for Healthcare provides techniques on how to apply machine learning within your organization and evaluate the efficacy, suitability, and efficiency of AI applications. These are illustrated through leading case studies, including how chronic disease is being redefined through patient-led data learning and the Internet of Things. What You'll LearnGain a deeper understanding of key machine learning algorithms and their use and implementation within wider healthcare Implement machine learning systems, such as speech recognition and enhanced deep learning/AI Select learning methods/algorithms and tuning for use in healthcare Recognize and prepare for the future of artificial intelligence in healthcare through best practices, feedback loops and intelligent agentsWho This Book Is For Health care professionals interested in how machine learning can be used to develop health intelligence – with the aim of improving patient health, population health and facilitating significant care-payer cost savings.

Ethical Governance of Artificial Intelligence in the Public Sector

Author : Liza Ireni-Saban
Publisher : Routledge
ISBN 13 : 1000434338
Total Pages : 112 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Ethical Governance of Artificial Intelligence in the Public Sector by : Liza Ireni-Saban

Download or read book Ethical Governance of Artificial Intelligence in the Public Sector written by Liza Ireni-Saban and published by Routledge. This book was released on 2021-08-23 with total page 112 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book argues that ethical evaluation of AI should be an integral part of public service ethics and that an effective normative framework is needed to provide ethical principles and evaluation for decision-making in the public sphere, at both local and international levels. It introduces how the tenets of prudential rationality ethics, through critical engagement with intersectionality, can contribute to a more successful negotiation of the challenges created by technological innovations in AI and afford a relational, interactive, flexible and fluid framework that meets the features of AI research projects, so that core public and individual values are still honoured in the face of technological development. This book will be of key interest to scholars, students, and professionals engaged in public management and ethics management, AI ethics, public organizations, public service leadership and more broadly to public administration and policy, as well as applied ethics and philosophy.

Artificial Intelligence and Machine Learning in Public Healthcare

Author : KC Santosh
Publisher : Springer Nature
ISBN 13 : 9811667683
Total Pages : 93 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Artificial Intelligence and Machine Learning in Public Healthcare by : KC Santosh

Download or read book Artificial Intelligence and Machine Learning in Public Healthcare written by KC Santosh and published by Springer Nature. This book was released on 2022-01-01 with total page 93 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses and evaluates AI and machine learning (ML) algorithms in dealing with challenges that are primarily related to public health. It also helps find ways in which we can measure possible consequences and societal impacts by taking the following factors into account: open public health issues and common AI solutions (with multiple case studies, such as TB and SARS: COVID-19), AI in sustainable health care, AI in precision medicine and data privacy issues. Public health requires special attention as it drives economy and education system. COVID-19 is an example—a truly infectious disease outbreak. The vision of WHO is to create public health services that can deal with abovementioned crucial challenges by focusing on the following elements: health protection, disease prevention and health promotion. For these issues, in the big data analytics era, AI and ML tools/techniques have potential to improve public health (e.g., existing healthcare solutions and wellness services). In other words, they have proved to be valuable tools not only to analyze/diagnose pathology but also to accelerate decision-making procedure especially when we consider resource-constrained regions.

Artificial Intelligence in Medicine

Author : Joseph JY Sung
Publisher : Elsevier
ISBN 13 : 0323950698
Total Pages : 162 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Artificial Intelligence in Medicine by : Joseph JY Sung

Download or read book Artificial Intelligence in Medicine written by Joseph JY Sung and published by Elsevier. This book was released on 2024-03-29 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although AI is opening new and exciting opportunities in healthcare, implementation still faces challenges. Artificial Intelligence in Medicine: From Ethical, Social, and Legal Perspectives provides answers on how to improve acceptance and diminish the anxiety of the use of AI-assisted medicine. Through a series of social, ethical, and legal discussions from clinicians, social scientists, ethicists, and legal experts this important reference has coverage that includes good data custodianship and stewardship; data access, data bias, data & healthcare equity; privacy and confidentiality; algorithmic understanding; and regulatory guidance, accountability, and legal responsibility. This reference will explain to healthcare providers how AI will enhance healthcare, will introduce to scientists and researchers the ethical and social aspect of AI that needs to be addressed, and will urge policymakers and health authorities to consider the legal framework needed to implement AI technology in healthcare. Discusses the issues that must be addressed to improve acceptance and diminish the anxiety and lack of trust surrounding the care of human health by machines Examines the delicate issues surrounding the use of AI in making life-and-death decisions Sets the framework of social, ethical, and legal aspects of healthcare for the future

Artificial Intelligence in Healthcare and Medicine

Author : Kayvan Najarian
Publisher : CRC Press
ISBN 13 : 1000565815
Total Pages : 300 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Artificial Intelligence in Healthcare and Medicine by : Kayvan Najarian

Download or read book Artificial Intelligence in Healthcare and Medicine written by Kayvan Najarian and published by CRC Press. This book was released on 2022-04-06 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive overview of the recent developments in clinical decision support systems, precision health, and data science in medicine. The book targets clinical researchers and computational scientists seeking to understand the recent advances of artificial intelligence (AI) in health and medicine. Since AI and its applications are believed to have the potential to revolutionize healthcare and medicine, there is a clear need to explore and investigate the state-of-the-art advancements in the field. This book provides a detailed description of the advancements, challenges, and opportunities of using AI in medical and health applications. Over 10 case studies are included in the book that cover topics related to biomedical image processing, machine learning for healthcare, clinical decision support systems, visualization of high dimensional data, data security and privacy, bioinformatics, and biometrics. The book is intended for clinical researchers and computational scientists seeking to understand the recent advances of AI in health and medicine. Many universities may use the book as a secondary training text. Companies in the healthcare sector can greatly benefit from the case studies covered in the book. Moreover, this book also: Provides an overview of the recent developments in clinical decision support systems, precision health, and data science in medicine Examines the advancements, challenges, and opportunities of using AI in medical and health applications Includes 10 cases for practical application and reference Kayvan Najarian is a Professor in the Department of Computational Medicine and Bioinformatics, Department of Electrical Engineering and Computer Science, and Department of Emergency Medicine at the University of Michigan, Ann Arbor. Delaram Kahrobaei is the University Dean for Research at City University of New York (CUNY), a Professor of Computer Science and Mathematics, Queens College CUNY, and the former Chair of Cyber Security, University of York. Enrique Domínguez is a professor in the Department of Computer Science at the University of Malaga and a member of the Biomedical Research Institute of Malaga. Reza Soroushmehr is a Research Assistant Professor in the Department of Computational Medicine and Bioinformatics and a member of the Michigan Center for Integrative Research in Critical Care, University of Michigan, Ann Arbor.

Ethics, Governance, and Policies in Artificial Intelligence

Author : Luciano Floridi
Publisher : Springer Nature
ISBN 13 : 3030819078
Total Pages : 392 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Ethics, Governance, and Policies in Artificial Intelligence by : Luciano Floridi

Download or read book Ethics, Governance, and Policies in Artificial Intelligence written by Luciano Floridi and published by Springer Nature. This book was released on 2021-11-02 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a synthesis of investigations on the ethics, governance and policies affecting the design, development and deployment of artificial intelligence (AI). Each chapter can be read independently, but the overall structure of the book provides a complementary and detailed understanding of some of the most pressing issues brought about by AI and digital innovation. Given its modular nature, it is a text suitable for readers who wish to gain a reliable orientation about the ethics of AI and for experts who wish to know more about specific areas of the current debate.

WHO consultation towards the development of guidance on ethics and governance of artificial intelligence for health

Author :
Publisher : World Health Organization
ISBN 13 : 9240012753
Total Pages : 37 pages
Book Rating : 4.2/5 (4 download)

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Book Synopsis WHO consultation towards the development of guidance on ethics and governance of artificial intelligence for health by :

Download or read book WHO consultation towards the development of guidance on ethics and governance of artificial intelligence for health written by and published by World Health Organization. This book was released on 2021-03-12 with total page 37 pages. Available in PDF, EPUB and Kindle. Book excerpt: The present document is the report of the first expert meeting, which was held 2–4 October 2019 at WHO in Geneva. Participants discussed current and potential artificial intelligence (AI) applications for global health in the context of existing frameworks and human rights standards. The participants considered the main challenges of ethics, governance and equitable access and discussed potential solutions. The expert meeting has established a foundation for the second meeting which was held on 5 and 6 March 2020 in Copenhagen, Denmark. The publication of the WHO guidance document on Ethics and governance of AI for health is envisaged for completion in 2021.

An Examination of Emerging Bioethical Issues in Biomedical Research

Author : National Academies of Sciences, Engineering, and Medicine
Publisher : National Academies Press
ISBN 13 : 0309676630
Total Pages : 133 pages
Book Rating : 4.3/5 (96 download)

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Book Synopsis An Examination of Emerging Bioethical Issues in Biomedical Research by : National Academies of Sciences, Engineering, and Medicine

Download or read book An Examination of Emerging Bioethical Issues in Biomedical Research written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2020-09-10 with total page 133 pages. Available in PDF, EPUB and Kindle. Book excerpt: On February 26, 2020, the Board on Health Sciences Policy of the National Academies of Sciences, Engineering, and Medicine hosted a 1-day public workshop in Washington, DC, to examine current and emerging bioethical issues that might arise in the context of biomedical research and to consider research topics in bioethics that could benefit from further attention. The scope of bioethical issues in research is broad, but this workshop focused on issues related to the development and use of digital technologies, artificial intelligence, and machine learning in research and clinical practice; issues emerging as nontraditional approaches to health research become more widespread; the role of bioethics in addressing racial and structural inequalities in health; and enhancing the capacity and diversity of the bioethics workforce. This publication summarizes the presentations and discussions from the workshop.

AI Ethics and Governance

Author : Zhiyi Liu
Publisher : Springer Nature
ISBN 13 : 9811925313
Total Pages : 185 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis AI Ethics and Governance by : Zhiyi Liu

Download or read book AI Ethics and Governance written by Zhiyi Liu and published by Springer Nature. This book was released on 2022-05-20 with total page 185 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book deeply analyzes the theoretical roots of the development of global artificial intelligence ethics and AI governance, the ethical issues in AI application scenarios, and the discussion of artificial intelligence governance issues from a global perspective. From the perspective of knowledge, the book includes not only the metaphysical research of traditional Western ethics, but also the interpretation of AI-related practical cases and international policies. The purpose of this book is not only to study AI ethics and governance issues academically, but to seek a path to solve problems in the real world. It is a very meaningful monograph in both academic theory and reality. This book responds to the implementation of China's digital economy governance and other topics. It is a cutting-edge academic monograph that combines industry, policy, and thought. In this book, the author not only discusses the humanities thoughts such as ethics, political economy, philosophy, and sociology, but also involves computer science, biology, and medicine and other science and engineering disciplines, effectively using interdisciplinary thinking as readers clarify how to explore ethical consensus and establish smart social governance rules in the era of artificial intelligence, so as to provide the most comprehensive and unique scientific and technological insights for smart economy participants, related practitioners in the artificial intelligence industry, and government policy makers. For academia, this is a representative book of Chinese scholars' systematic thinking on AI ethical propositions from a global perspective. For the industry, this is a book that understands the policies and ethical propositions faced by the development of AI industry. An important reference book, for policy makers, this is a monograph for understanding how policies in the AI industry make decisions that conform to AI industry practices and people's moral order.

Artificial Intelligence for a Better Future

Author : Bernd Carsten Stahl
Publisher : Springer Nature
ISBN 13 : 3030699781
Total Pages : 128 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Artificial Intelligence for a Better Future by : Bernd Carsten Stahl

Download or read book Artificial Intelligence for a Better Future written by Bernd Carsten Stahl and published by Springer Nature. This book was released on 2021-03-17 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book proposes a novel approach to Artificial Intelligence (AI) ethics. AI offers many advantages: better and faster medical diagnoses, improved business processes and efficiency, and the automation of boring work. But undesirable and ethically problematic consequences are possible too: biases and discrimination, breaches of privacy and security, and societal distortions such as unemployment, economic exploitation and weakened democratic processes. There is even a prospect, ultimately, of super-intelligent machines replacing humans. The key question, then, is: how can we benefit from AI while addressing its ethical problems? This book presents an innovative answer to the question by presenting a different perspective on AI and its ethical consequences. Instead of looking at individual AI techniques, applications or ethical issues, we can understand AI as a system of ecosystems, consisting of numerous interdependent technologies, applications and stakeholders. Developing this idea, the book explores how AI ecosystems can be shaped to foster human flourishing. Drawing on rich empirical insights and detailed conceptual analysis, it suggests practical measures to ensure that AI is used to make the world a better place.

Advanced Introduction to Artificial Intelligence in Healthcare

Author : Davenport, Tom
Publisher : Edward Elgar Publishing
ISBN 13 : 1800888090
Total Pages : 167 pages
Book Rating : 4.8/5 (8 download)

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Book Synopsis Advanced Introduction to Artificial Intelligence in Healthcare by : Davenport, Tom

Download or read book Advanced Introduction to Artificial Intelligence in Healthcare written by Davenport, Tom and published by Edward Elgar Publishing. This book was released on 2022-08-05 with total page 167 pages. Available in PDF, EPUB and Kindle. Book excerpt: Providing a comprehensive overview of the current and future uses of Artificial Intelligence in healthcare, this Advanced Introduction discusses the issues surrounding the implementation, governance, impacts and risks of utilising AI in health organizations. Analysing AI technologies in healthcare and their impacts on patient care, medical devices, pharmaceuticals, population health, and healthcare operations, it advises healthcare executives on how to effectively leverage AI to advance their strategies to support digital transformation.

Digitalization in Healthcare

Author : Patrick Glauner
Publisher : Springer Nature
ISBN 13 : 3030658961
Total Pages : 295 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Digitalization in Healthcare by : Patrick Glauner

Download or read book Digitalization in Healthcare written by Patrick Glauner and published by Springer Nature. This book was released on 2021-03-13 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital technologies are currently dramatically changing healthcare. This book introduces the reader to the latest digital innovations in healthcare in fields such as artificial intelligence, points out new ways in patient care and describes the limits of its application. It also offers essential guidance in the form of structured and authoritative contributions by domain experts spanning from artificial intelligence to hospital management to radiology to dentistry to preventive medicine. Furthermore, it shares ideas and experiences of industry veterans, in particular on how IT-driven solutions could solve long-standing issues in the fields of healthcare and hospitalization. It also gives advice on what new digital technologies to consider for becoming a healthcare market leader in the future. Taken together, these contributions provide a “road map” to guide decision makers, physicians, academics, industry representatives and other interested readers to understand the large impact of digital technology on healthcare today and its enormous potential for future development.

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)

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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.

Big Data and Artificial Intelligence for Healthcare Applications

Author : Ankur Saxena
Publisher : CRC Press
ISBN 13 : 1000387313
Total Pages : 286 pages
Book Rating : 4.0/5 (3 download)

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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 CRC Press. This book was released on 2021-06-15 with total page 286 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. "Big Data and Artificial Intelligence for Healthcare Applications" 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. Researchers, healthcare professionals, data scientists, systems engineers, students, programmers, clinicians, and policymakers will find this book of interest.