Download or read book AI Healthcare Applications and Security Ethical and Legal Considerations written by Singla, Babita and published by IGI Global. This book was released on 2024-08-05 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) technology has led to the creation of many opportunities in the field of healthcare. Like other industries, stakeholders in the healthcare sector stand to benefit tremendously from its adoption. The multifaceted benefits associated with AI are something that makes the adoption of technology constructive for the sector. That said, it is equally important to take care of the ethical, security, and safety challenges related to AI applications. AI Healthcare Applications and Security, Ethical, and Legal Considerations discusses in detail the various facets of AI integration in the healthcare sector. This book offers comprehensive information on how to integrate AI into the healthcare sector safely and ethically. Covering topics such as cybersecurity, machine learning models, and public policy, this book is an excellent resource for healthcare professionals and administrators, researchers, ethicists, legal scholars, healthcare policy makers and regulators, medical informatics and IT professionals, educators, bioethics professionals, academicians, and more.
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 The Oxford Handbook of Ethics of AI written by Markus Dirk Dubber and published by Oxford Handbooks. This book was released on 2020 with total page 896 pages. Available in PDF, EPUB and Kindle. Book excerpt: This interdisciplinary and international handbook captures and shapes much needed reflection on normative frameworks for the production, application, and use of artificial intelligence in all spheres of individual, commercial, social, and public life.
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.
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
Download or read book Ethics of Medical AI written by Giovanni Rubeis and published by Springer Nature. This book was released on with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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.
Download or read book Research Handbook on Health AI and the Law written by Barry Solaiman and published by . This book was released on 2024-07-28 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Research Handbook on Health, AI and the Law explores the use of AI in healthcare, identifying the important laws and ethical issues that arise from its use. Adopting an international approach, it analyses the varying responses of multiple jurisdictions to the use of AI and examines the influence of major religious and secular ethical traditions. Bringing together a diverse range of carefully selected legal experts, the Research Handbook critically assesses the different uses of AI in healthcare and its promise to provide greater accuracy for healthcare professionals and patients by diagnosing diseases and detecting illness earlier and helping hospitals run more efficiently. It also highlights a series of legal and ethical challenges AI raises relating to bias, privacy, data security, medical liability, informed consent and intellectual property. AI governance is rigorously examined in countries across the globe spanning Asia, Europe and the US while different responses from international organisations towards AI in healthcare are also evaluated. This Research Handbook is a key resource for scholars and law students and for those interested in current and developing legal paradigms. Its legal and practical dimensions will also be beneficial to lawyers practising in health law and internet and technology law, policymakers and medical professionals.
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 Intelligent Assistive Technologies for Dementia written by Fabrice Jotterand and published by Oxford University Press, USA. This book was released on 2019 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: The increasingly widespread implementation and use of intelligent assistive technologies (IATs) is reshaping dementia care. This volume provides an up-to-date overview of the current state of IATs for dementia care. The new essays collected here examine what IATs will mean for clinical practice and the ethical and regulatory challenges they will pose.
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.
Download or read book Ethical Issues in AI for Bioinformatics and Chemoinformatics written by Yashwant V. Pathak and published by CRC Press. This book was released on 2023-11-14 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique volume presents AI in relation to ethical points of view in handling big data sets. Issues such as algorithmic biases, discrimination for specific patterns and privacy breaches may sometimes be skewed to affect research results so that certain fields to appear more appealing to funding agencies. The discussion on the ethics of AI is highly complex due to the involvement of many international stakeholders such as the UN, OECD, parliaments, industry groups, professional bodies, and individual companies. The issue of reliability is addressed including the emergence of synthetic life, 5G networks, intermingling of human artificial intelligence, nano-robots and cyber security tools. Features Discusses artificial intelligence and ethics, the challenges and opportunities Presents the issue of reliability in the emergence of synthetic life, 5G networks, intermingling of human artificial intelligence, nano-robots, and cyber security tools Ethical responsibility and reasoning for using AI in Big Data Addresses practicing medicine and ethical issues when applying artificial intelligence
Download or read book Advances in Security Networks and Internet of Things written by Kevin Daimi and published by Springer Nature. This book was released on 2021-07-10 with total page 854 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents the proceedings of four conferences: The 19th International Conference on Security & Management (SAM'20), The 19th International Conference on Wireless Networks (ICWN'20), The 21st International Conference on Internet Computing & Internet of Things (ICOMP'20), and The 18th International Conference on Embedded Systems, Cyber-physical Systems (ESCS'20). The conferences took place in Las Vegas, NV, USA, July 27-30, 2020. The conferences are part of the larger 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20), which features 20 major tracks. Authors include academics, researchers, professionals, and students. Presents the proceedings of four conferences as part of the 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20); Includes the tracks on security & management, wireless networks, internet computing and IoT, and embedded systems as well as cyber-physical systems; Features papers from SAM’20, ICWN’20, ICOMP’20 and ESCS’20.
Download or read book Trustworthy AI written by Beena Ammanath and published by John Wiley & Sons. This book was released on 2022-03-15 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: An essential resource on artificial intelligence ethics for business leaders In Trustworthy AI, award-winning executive Beena Ammanath offers a practical approach for enterprise leaders to manage business risk in a world where AI is everywhere by understanding the qualities of trustworthy AI and the essential considerations for its ethical use within the organization and in the marketplace. The author draws from her extensive experience across different industries and sectors in data, analytics and AI, the latest research and case studies, and the pressing questions and concerns business leaders have about the ethics of AI. Filled with deep insights and actionable steps for enabling trust across the entire AI lifecycle, the book presents: In-depth investigations of the key characteristics of trustworthy AI, including transparency, fairness, reliability, privacy, safety, robustness, and more A close look at the potential pitfalls, challenges, and stakeholder concerns that impact trust in AI application Best practices, mechanisms, and governance considerations for embedding AI ethics in business processes and decision making Written to inform executives, managers, and other business leaders, Trustworthy AI breaks new ground as an essential resource for all organizations using AI.
Download or read book Machine Learning in Cardiovascular Medicine written by Subhi J. Al'Aref and published by Academic Press. This book was released on 2020-11-20 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning in Cardiovascular Medicine addresses the ever-expanding applications of artificial intelligence (AI), specifically machine learning (ML), in healthcare and within cardiovascular medicine. The book focuses on emphasizing ML for biomedical applications and provides a comprehensive summary of the past and present of AI, basics of ML, and clinical applications of ML within cardiovascular medicine for predictive analytics and precision medicine. It helps readers understand how ML works along with its limitations and strengths, such that they can could harness its computational power to streamline workflow and improve patient care. It is suitable for both clinicians and engineers; providing a template for clinicians to understand areas of application of machine learning within cardiovascular research; and assist computer scientists and engineers in evaluating current and future impact of machine learning on cardiovascular medicine. Provides an overview of machine learning, both for a clinical and engineering audience Summarize recent advances in both cardiovascular medicine and artificial intelligence Discusses the advantages of using machine learning for outcomes research and image processing Addresses the ever-expanding application of this novel technology and discusses some of the unique challenges associated with such an approach
Download or read book AI in Healthcare Revolutionizing Diagnosis Treatment and Management written by Dizzy Davidson and published by Pure Water Books. This book was released on 2024-07-25 with total page 149 pages. Available in PDF, EPUB and Kindle. Book excerpt: Are you struggling to fully understand the impact of AI in healthcare? Do you wonder how AI can revolutionize diagnosis, treatment, and patient management? Look no further! This book, “AI in Healthcare: Revolutionizing Diagnosis, Treatment, and Management,” is your comprehensive guide to navigating the complex world of AI in the medical field. Discover the transformative power of AI in diagnosing diseases, creating personalized treatment plans, performing robotic surgeries, and managing patient records. This book provides you with the knowledge and tools to harness AI’s potential, ensuring you stay ahead in the rapidly evolving healthcare landscape. Benefits of reading this book: Gain a deep understanding of AI applications in healthcare. Learn how AI enhances diagnostic accuracy and treatment efficacy. Explore real-world case studies and success stories. Understand the ethical and legal considerations of AI in medicine. Discover how AI can streamline administrative tasks and reduce costs. Why this book is essential: Comprehensive Coverage: From disease detection to robotic surgeries, this book covers all critical aspects of AI in healthcare. Expert Insights: Written by industry experts, it provides valuable insights and practical knowledge. Real-World Applications: Learn from real-world examples and case studies that illustrate the successful implementation of AI. Future Trends: Stay informed about emerging trends and technologies shaping the future of healthcare. Viral Bullet Points: Unlock the secrets of AI-driven diagnostics. Discover how AI personalizes treatment plans. Explore the future of robotic-assisted surgeries. Learn how AI manages patient records efficiently. Understand the ethical implications of AI in healthcare. Call to Action: Don’t miss out on the opportunity to revolutionize your understanding of AI in healthcare. Get your copy of “AI in Healthcare: Revolutionizing Diagnosis, Treatment, and Management” today! Equip yourself with the knowledge to leverage AI’s potential and become a leader in the healthcare industry.
Download or read book The National Artificial Intelligence Research and Development Strategic Plan written by National Science and Technology Council and published by Createspace Independent Publishing Platform. This book was released on 2016-10-27 with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence (AI) is a transformative technology that holds promise for tremendous societal and economic benefit. AI has the potential to revolutionize how we live, work, learn, discover, and communicate. AI research can further our national priorities, including increased economic prosperity, improved educational opportunities and quality of life, and enhanced national and homeland security. Because of these potential benefits, the U.S. government has invested in AI research for many years. Yet, as with any significant technology in which the Federal government has interest, there are not only tremendous opportunities but also a number of considerations that must be taken into account in guiding the overall direction of Federally-funded R&D in AI. On May 3, 2016, the Administration announced the formation of a new NSTC Subcommittee on Machine Learning and Artificial intelligence, to help coordinate Federal activity in AI.1 This Subcommittee, on June 15, 2016, directed the Subcommittee on Networking and Information Technology Research and Development (NITRD) to create a National Artificial Intelligence Research and Development Strategic Plan. A NITRD Task Force on Artificial Intelligence was then formed to define the Federal strategic priorities for AI R&D, with particular attention on areas that industry is unlikely to address. This National Artificial Intelligence R&D Strategic Plan establishes a set of objectives for Federally-funded AI research, both research occurring within the government as well as Federally-funded research occurring outside of government, such as in academia. The ultimate goal of this research is to produce new AI knowledge and technologies that provide a range of positive benefits to society, while minimizing the negative impacts.
