Download or read book Responsible Artificial Intelligence Re engineering the Global Public Health Ecosystem written by Dominique J Monlezun and published by Elsevier. This book was released on 2024-06-07 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence Re-Engineering the Global Public Health Ecosystem: A Humanity Worth Saving provides a unifying strategic vision (and principles and examples operationalizing it) for the AI-accelerated effective, efficient, and equitable global public health of the future. Readers will find an ecosystem-based approach to understanding how AI is transforming and globalizing public health (and thus our underlying political economics, contextualized in our diverse cultures). The book integrates data architecture, digital health ecosystem, algorithms (including machine and deep learning and artificial general intelligence), quantum computing, global disease surveillance, adaptive value supply chains, demographic shifts, integral development, network science, health financing, healthcare system design, and multicultural global ethics underlying diverse political economic systems in a clear and concrete way forward together, within a divided but digitized and globalized world. Written by the world's first triple doctorate-trained physician-data scientist and AI ethicist, this book is a compelling and coherent guide to help empower and equip AI developers, students, practitioners, policymakers, researchers, and leaders in digital technology, public health, healthcare, health policy, public policy, political science, economics, and ethics to generate the healthcare solutions that will define humanity's next era. - Details the first comprehensive ecosystem analysis of global public health revolutionized by AI. - Uses concrete examples to explain the dominant players and trends determining health's future, including through data architecture, financing, political economics, demographics, security, and multicultural ethics. - Provides a successful full-spectrum formula for governments, institutions, companies, and communities to scale equitable health globally while respecting local identities and values.

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 Hacking Healthcare written by Tom Lawry and published by CRC Press. This book was released on 2022-07-20 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this original work, Tom Lawry takes readers on a journey of understanding what we learned from fighting a global pandemic and how to apply these learnings to solve healthcare's other big challenges. This book is about empowering clinicians and consumers alike to take control of what is important to them by harnessing the power of AI and the Intelligent Health Revolution to create a sustainable system that focuses on keeping all citizens healthy while caring for them when they are not.

Download or read book The Thinking Healthcare System written by Dominique J Monlezun and published by Elsevier. This book was released on 2023-02-17 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Thinking Healthcare System: Artificial Intelligence and Human Equity is the first comprehensive book detailing the historical, global, and technical trends shaping the evolution of the modern healthcare system into its final form—an AI-driven thinking healthcare system, structured and functioning as a global digital health ecosystem. Written by the world's first triple doctorate trained physician-data scientist and ethicist, and author of three AI textbooks and over 350 scientific and ethics papers, this indispensable resource makes sense of how technology, economics, and ethics are already producing the future's health system—and how to ensure it works for every patient, community, and culture in our globalized, digitalized, and divided world. Providing clear descriptions and concrete examples, this book brings together AI-accelerated digital health ecosystems, data architecture, cloud and edge computing, precision medicine, public health, telemedicine, patient safety, health political economics, multicultural global ethics, blockchain, and quantum health computing, among other topics. Healthcare and business executives, clinicians, researchers, government leaders, policymakers, and students in the fields of healthcare management, data science, medicine, public health, informatics, health and public policy, political economics, and bioethics will find this book to be a groundbreaking resource on how to create, nourish, and lead AI-driven health systems for the future that can think, adapt, and so care in a manner worthy of the world's patients. - Details the first comprehensive, global, and multidisciplinary analysis of the AI-driven transformation of modern healthcare systems into their definitive digitalized form that will dominate the future - Provides clear descriptions and concrete examples of AI-informed value-based healthcare, digital health ecosystems, data architecture, cloud and edge computing, precision medicine, public health, telemedicine, patient safety, health political economics, multicultural and embedded global ethics, blockchain, AI security, health security, digital twins, and quantum health computing - Serves as a practical blueprint, roadmap, and system DNA for creating the future's healthcare system that integrates efficiency and equity to accelerate the treatment (and in some cases even cures) for some of our world's most urgent, immediate, and impending global health challenges and crises

Download or read book AI in Health written by Tom Lawry and published by CRC Press. This book was released on 2020-02-05 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt: We are in the early stages of the next big platform shift in healthcare computing. Fueled by Artificial Intelligence (AI) and the Cloud, this shift is already transforming the way health and medical services are provided. As the industry transitions from static digital repositories to intelligent systems, there will be winners and losers in the race to innovate and automate the provision of services. Critical to success will be the role leaders play in shaping the use of AI to be less "artificial" and more "intelligent" in support of improving processes to deliver care and keep people healthy and productive across all care settings. This book defines key technical, process, people, and ethical issues that need to be understood and addressed in successfully planning and executing an enterprise-wide AI plan. It provides clinical and business leaders with a framework for moving organizations from the aspiration to execution of intelligent systems to improve clinical, operational, and financial performance.

Download or read book Oxford Handbook of Ethics of AI written by Markus D. Dubber and published by Oxford University Press. This book was released on 2020-06-30 with total page 1000 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume tackles a quickly-evolving field of inquiry, mapping the existing discourse as part of a general attempt to place current developments in historical context; at the same time, breaking new ground in taking on novel subjects and pursuing fresh approaches. The term "A.I." is used to refer to a broad range of phenomena, from machine learning and data mining to artificial general intelligence. The recent advent of more sophisticated AI systems, which function with partial or full autonomy and are capable of tasks which require learning and 'intelligence', presents difficult ethical questions, and has drawn concerns from many quarters about individual and societal welfare, democratic decision-making, moral agency, and the prevention of harm. This work ranges from explorations of normative constraints on specific applications of machine learning algorithms today-in everyday medical practice, for instance-to reflections on the (potential) status of AI as a form of consciousness with attendant rights and duties and, more generally still, on the conceptual terms and frameworks necessarily to understand tasks requiring intelligence, whether "human" or "A.I."

Download or read book Leveraging Artificial Intelligence in Global Epidemics written by Le Gruenwald and published by Academic Press. This book was released on 2021-07-28 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Leveraging Artificial Intelligence in Global Epidemics provides readers with a detailed technical description of the role Artificial Intelligence plays in various stages of a disease outbreak, using COVID-19 as a case study. In the fight against epidemics, medical staff are on the front line; but behind the lines the battle is fought by researchers, and data scientists. Artificial Intelligence has been helping researchers with computer modeling and simulation for predictions about disease progression, the overall economic situation, tax incomes and population development. In the same manner, AI can prepare researchers for any emergency situation by backing the medical science. Artificial Intelligence plays a key and cutting-edge role in the preparedness for and dealing with the outbreak of global epidemics. It can help researchers analyze global data about known viruses to predict the patterns of the next pandemic and the impacts it will have. Not only prediction, AI plays an increasingly important role in assessing readiness, early detection, identification of patients, generating recommendations, situation awareness and more. It is up to the right input and the innovative ways by humans to leverage what AI can do. As COVID-19 has grabbed the world and its economy today, an analysis of the COVID-19 outbreak and the global responses and analytics will pay a long way in preparing humanity for such future situations. - Provides readers with understanding of how Artificial Intelligence can be applied to the prediction, forecasting, detection, and testing of global epidemics, using COVID-19 and other recent epidemics such as Ebola, Corona viruses, Zika, influenza, Dengue, Chikungaya, and malaria as case studies - Includes background material regarding readiness for coping with epidemics, including Machine Learning models for prediction of epidemic outbreaks based on existing data - Includes technical coverage of key topics such as generating recommendations to combat outbreaks, genome sequencing, AI-assisted testing, AI-assisted contact tracing, situation awareness and combating disinformation, and the role of Artificial Intelligence and Machine Learning in drug discovery, vaccine development, and drug re-purposing

Download or read book Artificial Intelligence for Healthcare written by Sze-chuan Suen and published by Cambridge University Press. This book was released on 2022-05-05 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt: This overview of interdisciplinary research partnerships applying AI, IE, and OR in societal and operational problems in a variety of healthcare settings highlights how engineering has contributed to medical knowledge, health system operations, and behavioral health. Chapter authors include doctors, policy-makers, social scientists, and engineers.

Download or read book How AI Impacts Urban Living and Public Health written by José Pagán and published by Springer Nature. This book was released on 2019-10-08 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book constitutes the refereed proceedings of the 17th International Conference on String Processing and Information Retrieval, ICOST 2019, held in New York City, NY, USA, in October 2019. The 15 full papers and 5 short papers presented in this volume were carefully reviewed and selected from 24 submissions. They cover topics such as: e-health technology design; well-being technology; biomedical and health informatics; and smart environment technology.

Download or read book Digital Health Transformation with Blockchain and Artificial Intelligence written by Chinmay Chakraborty and published by CRC Press. This book was released on 2022-05-10 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book Digital Health Transformation with Blockchain and Artificial Intelligence covers the global digital revolution in the field of healthcare sector. The population has been overcoming the COVID-19 period; therefore, we need to establish intelligent digital healthcare systems using various emerging technologies like Blockchain and Artificial Intelligence. Internet of Medical Things is the technological revolution that has included the element of "smartness" in the healthcare industry and also identifying, monitoring, and informing service providers about the patient’s clinical information with faster delivery of care services. This book highlights the important issues i.e. (a) How Internet of things can be integrated with the healthcare ecosystem for better diagnostics, monitoring, and treatment of the patients, (b) Artificial Intelligence for predictive and preventive healthcare systems, (c) Blockchain for managing healthcare data to provide transparency, security, and distributed storage, and (d) Effective remote diagnostics and telemedicine approach for developing smart care. The book encompasses chapters belong to the blockchain, Artificial Intelligence, and Big health data technologies. Features: Blockchain and internet of things in healthcare systems Secure Digital Health Data Management in Internet of Things Public Perception towards AI-Driven Healthcare Security, privacy issues and challenges in adoption of smart digital healthcare Big data analytics and Internet of things in the pandemic era Clinical challenges for digital health revolution Artificial intelligence for advanced healthcare Future Trajectory of Healthcare with Artificial Intelligence 9 Parkinson disease pre-diagnosis using smart technologies Emerging technologies to combat the COVID-19 Machine Learning and Internet of Things in Digital Health Transformation Effective Remote Healthcare and Telemedicine Approaches Legal implication of blockchain technology in public health This Book on "Digital Health Transformation with Blockchain and Artificial Intelligence" aims at promoting and facilitating exchanges of research knowledge and findings across different disciplines on the design and investigation of secured healthcare data analytics. It can also be used as a textbook for a Masters course in security and biomedical engineering. This book will also present new methods for the medical data analytics, blockchain technology, and diagnosis of different diseases to improve the quality of life in general, and better integration into digital healthcare.

Download or read book AI and IoT Technology and Applications for Smart Healthcare Systems written by Alex Khang and published by CRC Press. This book was released on 2024-05-15 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, the application of Artificial Intelligence (AI) and Internet of Things (IoT) technologies in smart healthcare has been increasing. We are approaching a world where connected smart devices tell people when they need to visit a doctor because these devices will be able to detect health problems and discover symptoms of illness that may need medical care. AI-collaborative IoT technologies can help medical professionals with decision-making. These technologies can also help develop a sustainable and smart healthcare system. AI and IoT Technology and Applications for Smart Healthcare Systems helps readers understand complex scientific topics in a simple and accessible way. It introduces the world of AI-collaborative IoT physics, explaining how this technology behaves at the smallest level and how this can revolutionize healthcare. The book shows how IoT technology and AI can work together to make computers more powerful and capable of solving complex problems in the healthcare sector. Exploring the effect of AI-collaborative technology on IoT technologies, the book discusses how IoT can benefit from AI algorithms to enable machines to learn, make decisions, and process information more efficiently. Because smart machines create more perceptive devices and systems, the application of this technology raises important ethical questions about privacy, security, and the responsible development of healthcare IoT technology, which this book covers. The book also provides insight into the potential applications of these technologies not only in the healthcare industry but also in related fields, such as smart transportation, smart manufacturing, and smart cities.

Download or read book Responsible AI and Ethical Issues for Businesses and Governments written by Vassileva, Bistra and published by IGI Global. This book was released on 2020-10-16 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt: The research surrounding artificial intelligence (AI) is vast and quite diverse in both its applied and theoretical fields. AI tools and techniques, such as machine learning, data mining, neural networks, and advanced analytics, are evolving at a high speed, creating a consistent need for updated research. This is especially relevant with frequent developments for the application of AI technology in many science and industry sectors. This rapid expansion created a need for research that focuses on the questions surrounding the development of AI such as ethical issues, responsible AI methods and applications, and its widespread implementation. Within the answers to these questions is the prevailing notion that AI should be accountable, explainable, transparent, and fair for all organizations and individuals. Responsible AI and Ethical Issues for Businesses and Governments widens the understanding of AI outside of the “narrow” technical perspective to a broader viewpoint that embraces the links between AI theory, practice, and policy. The chapters in this book discuss the basic philosophical and conceptual foundations of AI and explores the responsible application of AI tools and methods, the moral aspects of AI, practical issues, and responsible AI implementation across a range of industries. While highlighting topics that include digital transformation, ethical competence, information literacy in AI, and the interaction between AI and humans, this book is ideally designed for IT specialists, technology developers, technologists, ethicists, practitioners, stakeholders, academicians, students, and researchers who are interested in learning more about the ethical and responsible use of AI.

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.

Download or read book The Digital Revolution in Health written by Jerome Beranger and published by John Wiley & Sons. This book was released on 2021-07-07 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: What sort of health system do we want to implement in the face of the imminent arrival of artificial intelligence and robotics in medical practices? The Covid-19 health crisis has demonstrated the importance of digital technologies in the care of patients and their families, as imperative attention was called to ethics and relational practice. This book analyzes numerous sources of feedback to reveal the multiple facets of this so-called Medicine 4.0. It reveals the extent to which digital medicine requires new forms of organization and new approaches to co-conception, in a logic that is resolutely collaborative with patients. The book concludes with legal and ethical points of view in order to challenge the reader on their duty to truly be an "actor" of their health care.

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 Developing Cybersecurity Programs and Policies in an AI Driven World written by Omar Santos and published by Pearson IT Certification. This book was released on 2024-07-16 with total page 989 pages. Available in PDF, EPUB and Kindle. Book excerpt: ALL THE KNOWLEDGE YOU NEED TO BUILD CYBERSECURITY PROGRAMS AND POLICIES THAT WORK Clearly presents best practices, governance frameworks, and key standards Includes focused coverage of healthcare, finance, and PCI DSS compliance An essential and invaluable guide for leaders, managers, and technical professionals Today, cyberattacks can place entire organizations at risk. Cybersecurity can no longer be delegated to specialists: Success requires everyone to work together, from leaders on down. Developing Cybersecurity Programs and Policies in an AI-Driven World offers start-to-finish guidance for establishing effective cybersecurity in any organization. Drawing on more than two decades of real-world experience, Omar Santos presents realistic best practices for defining policy and governance, ensuring compliance, and collaborating to harden the entire organization. Santos begins by outlining the process of formulating actionable cybersecurity policies and creating a governance framework to support these policies. He then delves into various aspects of risk management, including strategies for asset management and data loss prevention, illustrating how to integrate various organizational functions—from HR to physical security—to enhance overall protection. This book covers many case studies and best practices for safeguarding communications, operations, and access; alongside strategies for the responsible acquisition, development, and maintenance of technology. It also discusses effective responses to security incidents. Santos provides a detailed examination of compliance requirements in different sectors and the NIST Cybersecurity Framework. LEARN HOW TO Establish cybersecurity policies and governance that serve your organization’s needs Integrate cybersecurity program components into a coherent framework for action Assess, prioritize, and manage security risk throughout the organization Manage assets and prevent data loss Work with HR to address human factors in cybersecurity Harden your facilities and physical environment Design effective policies for securing communications, operations, and access Strengthen security throughout AI-driven deployments Plan for quick, effective incident response and ensure business continuity Comply with rigorous regulations in finance and healthcare Learn about the NIST AI Risk Framework and how to protect AI implementations Explore and apply the guidance provided by the NIST Cybersecurity Framework

Download or read book Resilient Health written by Judy Kuriansky and published by Elsevier. This book was released on 2024-06-24 with total page 1418 pages. Available in PDF, EPUB and Kindle. Book excerpt: Resilient Health: Leveraging Technology and Social Innovations to Transform Healthcare for COVID-19 Recovery and Beyond presents game-changing and disruptive technological innovations and social applications in health and mental health care around the world for the post-COVID age and beyond, addressing the urgent need for care. In this first-of-its kind comprehensive volume, experts and stakeholders from all sectors - government and the public and private sectors - offer models and frameworks for policy, programming, and financing to transform healthcare, address inequities, close the treatment gap, and “build back better,” especially for under-resourced vulnerable communities globally, to “leave no one behind” and advance development globally. Contributions from world experts cover 8 essential parts: The context and challenges for resilient health systems to shape the future; developments and directions (AI, VR, MR, IVAs and more); an innovations toolbox, also targeted for special populations and settings (women, youth, ageing, migrants, disabled persons, indigenous peoples, in the workplace); the role of stakeholders (governments, the public and private sector); forums and networks; innovative financing; resources, lessons learned and the way forward. Addresses the “hot” topic today in the ever-emerging landscape of disruptive digital healthcare delivery, covering critical issues and solutions in digital health, big data, and artificial intelligence as well as benefits and challenges, and ethical concerns Provides case examples of transformative and radical solutions to urgent health needs, especially in remote low-resource settings as well as in less well-covered regions of Central and South America and MENA (Middle East and North Africa) Positions health innovations at the nexus of the global framework of Universal Health Coverage and of the United Nations Sustainable Developing Goals to achieve SDG3 - good health and well-being –at the intersection with climate action, gender equality, quality education, eradication of poverty and hunger, sustainable cities, environmental protection and others. Serves as an exceptional resource, reference, teaching tool, and guide for all stakeholders including civil society and NGOs, government, think tanks, investors, academia, researchers and practitioners, product developers and all policymakers and programmers involved in planning and delivering healthcare, including an extensive section of resources in the digital health space in various categories like publications, conferences, and collaboratives. Provides examples of, and encourages, multi-stakeholder partnerships essential to re-imagine health systems, delivery and access, and to achieve intended healthcare objectives