Download or read book The implications of artificial intelligence and machine learning in health financing for achieving universal health coverage written by World Health Organization and published by World Health Organization. This book was released on 2022-12-31 with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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 Assessing the effects of digital technologies on health financing and Universal Health Coverage objectives written by World Health Organization and published by World Health Organization. This book was released on 2023-08-23 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital health is a rapidly expanding area of interest for both research, policy and practice, and within that area digital technologies (DTs) for health financing receive increasing attention. DTs can change the nature and business processes of health financing functions and tasks and modify the interactions between health financing actors. Depending on their design features and actual implementation as well as broader contextual factors, DTs can affect the health financing tasks and functions (positively or negatively). However, little robust evidence exists on the impact of DTs specifically on health financing and universal health coverage (UHC) objectives. More rigorous evaluations in this area is urgently needed. The aim of this guide is to support the evidence generation on DTs for health financing. The guide provides orientation to analyse a country use case of digital technology and its (positive and negative) effects for health financing, i.e. whether, how and why it contributes to the realization of desirable health financing attributes and UHC intermediate and final objectives or whether, how and in which circumstances it is actually harmful to these.
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 The use of digital technologies to support the identification of poor and vulnerable population groups for health coverage schemes Insights from Cambodia India and Rwanda written by World Health Organization and published by World Health Organization. This book was released on 2022-12-19 with total page 29 pages. Available in PDF, EPUB and Kindle. Book excerpt: The role of digital technologies for health financing and their potential contribution to UHC progress is receiving increased attention, although the evidence base is still very small, indicating the need for further documentation and assessments of countries’ practices. This paper seeks to contribute to gathering the evidence needed. Specifically, the paper assesses the experiences of three countries – Cambodia, India and Rwanda – to explore the use and role of digital technologies that support the identification of the poor and other vulnerable population groups. The focus is on the processes of targeting, identification and identity confirmation as important health financing-related tasks that cut across the revenue-raising and pooling functions with the purpose of providing fully- or partially subsidized coverage via publicly funded health coverage schemes.
Download or read book Artificial Intelligence written by Sandeep Reddy and published by CRC Press. This book was released on 2020-12-02 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: The rediscovery of the potential of artificial intelligence (AI) to improve healthcare delivery and patient outcomes has led to an increasing application of AI techniques such as deep learning, computer vision, natural language processing, and robotics in the healthcare domain. Many governments and health authorities have prioritized the application of AI in the delivery of healthcare. Also, technological giants and leading universities have established teams dedicated to the application of AI in medicine. These trends will mean an expanded role for AI in the provision of healthcare. Yet, there is an incomplete understanding of what AI is and its potential for use in healthcare. This book discusses the different types of AI applicable to healthcare and their application in medicine, population health, genomics, healthcare administration, and delivery. Readers, especially healthcare professionals and managers, will find the book useful to understand the different types of AI and how they are relevant to healthcare delivery. The book provides examples of AI being applied in medicine, population health, genomics, healthcare administration, and delivery and how they can commence applying AI in their health services. Researchers and technology professionals will also find the book useful to note current trends in the application of AI in healthcare and initiate their own projects to enable the application of AI in healthcare/medical domains.
Download or read book Accelerated Path to Cures written by Josep Bassaganya-Riera and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Accelerated Path to Cures provides a transformative perspective on the power of combining advanced computational technologies, modeling, bioinformatics and machine learning approaches with nonclinical and clinical experimentation to accelerate drug development. This book discusses the application of advanced modeling technologies, from target identification and validation to nonclinical studies in animals to Phase 1-3 human clinical trials and post-approval monitoring, as alternative models of drug development. As a case of successful integration of computational modeling and drug development, we discuss the development of oral small molecule therapeutics for inflammatory bowel disease, from the application of docking studies to screening new chemical entities to the development of next-generation in silico human clinical trials from large-scale clinical data. Additionally, this book illustrates how modeling techniques, machine learning, and informatics can be utilized effectively at each stage of drug development to advance the progress towards predictive, preventive, personalized, precision medicine, and thus provide a successful framework for Path to Cures.
Download or read book The role of digital claims management for Estonia s health insurance written by World Health Organization and published by World Health Organization. This book was released on 2023-02-10 with total page 56 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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 Machine Learning written by and published by . This book was released on 2017 with total page 125 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book AI and education written by Miao, Fengchun and published by UNESCO Publishing. This book was released on 2021-04-08 with total page 50 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) has the potential to address some of the biggest challenges in education today, innovate teaching and learning practices, and ultimately accelerate the progress towards SDG 4. However, these rapid technological developments inevitably bring multiple risks and challenges, which have so far outpaced policy debates and regulatory frameworks. This publication offers guidance for policy-makers on how best to leverage the opportunities and address the risks, presented by the growing connection between AI and education. It starts with the essentials of AI: definitions, techniques and technologies. It continues with a detailed analysis of the emerging trends and implications of AI for teaching and learning, including how we can ensure the ethical, inclusive and equitable use of AI in education, how education can prepare humans to live and work with AI, and how AI can be applied to enhance education. It finally introduces the challenges of harnessing AI to achieve SDG 4 and offers concrete actionable recommendations for policy-makers to plan policies and programmes for local contexts. [Publisher summary, ed]
Download or read book Information and Communication Technology in Technical and Vocational Education and Training for Sustainable and Equal Opportunity written by Reem Khamis Hamdan and published by Springer Nature. This book was released on 2023 with total page 578 pages. Available in PDF, EPUB and Kindle. Book excerpt: Zusammenfassung: This book provides an in-depth analysis of current development concerning ICTs with reference to vocational education and training. It presents the best and innovative ICT-based solutions implemented in education and explores controversial topics such as challenges and opportunities. Information and communication technologies (ICTs) have dramatically changed the way we learn and work. They have created new opportunities along with new challenges, putting profound and urgent implications on vocational education and training (VET). Nowadays, we must think broadly and make the right choices about VET using innovation and digitalization to boost the quality of vocational education and training, enable the upskilling and reskilling of adults, and enhance the employability of learners. The potential and the impact of ICTs in vocational education and training have yet to be fully exploited, leading to an emerging direction of research. This book helps readers to understand the idea of business education and education governance in a digital age. It is of interest to practitioners, administrators, researchers, teachers, teacher educators and students.
Download or read book Leveraging Data Science for Global Health written by Leo Anthony Celi and published by Springer Nature. This book was released on 2020-07-31 with total page 471 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book explores ways to leverage information technology and machine learning to combat disease and promote health, especially in resource-constrained settings. It focuses on digital disease surveillance through the application of machine learning to non-traditional data sources. Developing countries are uniquely prone to large-scale emerging infectious disease outbreaks due to disruption of ecosystems, civil unrest, and poor healthcare infrastructure – and without comprehensive surveillance, delays in outbreak identification, resource deployment, and case management can be catastrophic. In combination with context-informed analytics, students will learn how non-traditional digital disease data sources – including news media, social media, Google Trends, and Google Street View – can fill critical knowledge gaps and help inform on-the-ground decision-making when formal surveillance systems are insufficient.
Download or read book Delivering Quality Health Services A Global Imperative written by OECD and published by OECD Publishing. This book was released on 2018-07-05 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: This report describes the current situation with regard to universal health coverage and global quality of care, and outlines the steps governments, health services and their workers, together with citizens and patients need to urgently take.
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 388 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 Preparing for the Future of Artificial Intelligence written by Committee on Technology National Science and Technology Council, Committee on Technology and published by Createspace Independent Publishing Platform. This book was released on 2016-10-30 with total page 58 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Artificial Intelligence (AI) technology have opened up new markets and new opportunities for progress in critical areas such as health, education, energy, and the environment. In recent years, machines have surpassed humans in the performance of certain specific tasks, such as some aspects of image recognition. Experts forecast that rapid progress in the field of specialized artificial intelligence will continue. Although it is very unlikely that machines will exhibit broadly-applicable intelligence comparable to or exceeding that of humans in the next 20 years, it is to be expected that machines will reach and exceed human performance on more and more tasks. As a contribution toward preparing the United States for a future in which AI plays a growing role, this report surveys the current state of AI, its existing and potential applications, and the questions that are raised for society and public policy by progress in AI. The report also makes recommendations for specific further actions by Federal agencies and other actors.
Download or read book Artificial Intelligence for COVID 19 written by Diego Oliva and published by Springer Nature. This book was released on 2021-07-19 with total page 594 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a compilation of the most recent implementation of artificial intelligence methods for solving different problems generated by the COVID-19. The problems addressed came from different fields and not only from medicine. The information contained in the book explores different areas of machine and deep learning, advanced image processing, computational intelligence, IoT, robotics and automation, optimization, mathematical modeling, neural networks, information technology, big data, data processing, data mining, and likewise. Moreover, the chapters include the theory and methodologies used to provide an overview of applying these tools to the useful contribution to help to face the emerging disaster. The book is primarily intended for researchers, decision makers, practitioners, and readers interested in these subject matters. The book is useful also as rich case studies and project proposals for postgraduate courses in those specializations.
