Debating The Impacts Of Ai On Healthcare
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Debating The Impacts Of Ai On Healthcare
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Author : Max Inkwell
language : en
Publisher: Independently Published
Release Date : 2024-04-26
Debating The Impacts Of Ai On Healthcare written by Max Inkwell and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-26 with Health & Fitness categories.
Explore the transformative impact of artificial intelligence (AI) on modern healthcare in this comprehensive and insightful book. From revolutionizing medical diagnostics and personalized treatment to addressing ethical challenges and regulatory considerations, Debating the Impacts of AI on Healthcare delves into the forefront of AI innovation. Learn how AI-powered technologies are reshaping patient care, improving clinical decision-making, and driving advancements in precision medicine. Gain valuable insights into the ethical frameworks and governance mechanisms necessary to ensure responsible AI deployment in healthcare settings. Whether you are a healthcare professional, researcher, policymaker, or technology enthusiast, this book offers a compelling exploration of the intersection between AI and healthcare, illuminating the possibilities and challenges of embracing AI-driven solutions to enhance human health and well-being.
Explainable Ai In Healthcare And Medicine
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Author : Arash Shaban-Nejad
language : en
Publisher: Springer Nature
Release Date : 2020-11-02
Explainable Ai In Healthcare And Medicine written by Arash Shaban-Nejad and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-02 with Technology & Engineering categories.
This book highlights the latest advances in the application of artificial intelligence and data science in health care and medicine. Featuring selected papers from the 2020 Health Intelligence Workshop, held as part of the Association for the Advancement of Artificial Intelligence (AAAI) Annual Conference, it offers an overview of the issues, challenges, and opportunities in the field, along with the latest research findings. Discussing a wide range of practical applications, it makes the emerging topics of digital health and explainable AI in health care and medicine accessible to a broad readership. The availability of explainable and interpretable models is a first step toward building a culture of transparency and accountability in health care. As such, this book provides information for scientists, researchers, students, industry professionals, public health agencies, and NGOs interested in the theory and practice of computational models of public and personalized health intelligence.
Artificial Intelligence In Healthcare
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Author : Adam Bohr
language : en
Publisher: Academic Press
Release Date : 2020-06-21
Artificial Intelligence In Healthcare written by Adam Bohr and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-21 with Computers categories.
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
Artificial Intelligence And The Future Of Healthcare
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Author : Jon-Arild Johannessen
language : en
Publisher: Taylor & Francis
Release Date : 2024-07-19
Artificial Intelligence And The Future Of Healthcare written by Jon-Arild Johannessen and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-19 with Business & Economics categories.
The application of Artificial Intelligence (AI) in the healthcare sector is certain to boost levels of automation and productivity but, paradoxically, it will also increase the availability of “first line competence.” At the same time as demographic trends are affecting demand for health and social care, the technological developments we are seeing make it highly likely that AI will play a decisive role in tackling the challenges our healthcare systems will encounter. This book reveals systemic connections to tackle questions about the potential impact of AI on future challenges in the healthcare sector. Specifically, it develops practical proposals for ways in which AI can be applied to solve these forthcoming issues. It emphasizes the importance of AI in what is known in the literature as human augmentation. The book’s innovative perspective is apparent in the way it challenges conventional wisdom in the context of several pressing questions, such as: • What opportunities and challenges could arise from the application of AI in the healthcare sector? • How can the philosophy of medicine, viewed from a systemic perspective, help us to understand, explain, and resolve some of the future challenges in the healthcare sector? • How could AI affect inclusive employment opportunities for people with disabilities? The book also contains an underlying argument to the effect that the rational approach adopted by economists is perhaps less rational when applied to a healthcare sector that is crying out for more “first line competence.” The primary readership will be academic, but the book will also appeal to policymakers, consultants, HR departments, healthcare stakeholders, and related practitioners.
Industry 4 0 And Healthcare
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Author : Ashish Mishra
language : en
Publisher: Springer Nature
Release Date : 2024-01-02
Industry 4 0 And Healthcare written by Ashish Mishra and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-02 with Technology & Engineering categories.
This book presents different stages of Industrial Revolution in artificial intelligence and its impact on industry 4.0 and Healthcare. It contains chapters prepared for the industrial landscape which is being transformed to the fourth stage with the rise of autonomous robots, contemporary automation, cyber-physical systems, the Internet of things, and the Internet of services for examining the circumstances of health care system for the future. It highlights the emerging trends in integration of different intelligent manufacturing systems and advanced information technologies. Additionally, understanding of the real-world issues using artificial intelligence and the solutions discussed in this book help the enormous numbers of techniques which can be applied for effective diagnosis and predicting diseases from health care data.
Artificial Intelligence In Healthcare
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Author : Nick Hunter
language : en
Publisher:
Release Date : 2024-08
Artificial Intelligence In Healthcare written by Nick Hunter and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08 with Juvenile Nonfiction categories.
Could artificial intelligence save our lives and improve our health, or is AI just a deadly health hazard? Discover what AI is and how it is changing the way we approach healthcare. Then join the debate about AI and decide for yourself if you think it will be our healthcare friend or a devastating danger.
Artificial Intelligence And Machine Learning In Public Healthcare
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Author : KC Santosh
language : en
Publisher: Springer Nature
Release Date : 2022-01-01
Artificial Intelligence And Machine Learning In Public Healthcare written by KC Santosh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-01 with Technology & Engineering categories.
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.
Ai For Healthcare With Keras And Tensorflow 2 0
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Author : Anshik
language : en
Publisher:
Release Date : 2021
Ai For Healthcare With Keras And Tensorflow 2 0 written by Anshik and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with Artificial intelligence categories.
Learn how AI impacts the healthcare ecosystem through real-life case studies with TensorFlow 2.0 and other machine learning (ML) libraries. This book begins by explaining the dynamics of the healthcare market, including the role of stakeholders such as healthcare professionals, patients, and payers. Then it moves into the case studies. The case studies start with EHR data and how you can account for sub-populations using a multi-task setup when you are working on any downstream task. You also will try to predict ICD-9 codes using the same data. You will study transformer models. And you will be exposed to the challenges of applying modern ML techniques to highly sensitive data in healthcare using federated learning. You will look at semi-supervised approaches that are used in a low training data setting, a case very often observed in specialized domains such as healthcare. You will be introduced to applications of advanced topics such as the graph convolutional network and how you can develop and optimize image analysis pipelines when using 2D and 3D medical images. The concluding section shows you how to build and design a closed-domain Q&A system with paraphrasing, re-ranking, and strong QnA setup. And, lastly, after discussing how web and server technologies have come to make scaling and deploying easy, an ML app is deployed for the world to see with Docker using Flask. By the end of this book, you will have a clear understanding of how the healthcare system works and how to apply ML and deep learning tools and techniques to the healthcare industry. You will: Get complete, clear, and comprehensive coverage of algorithms and techniques related to case studies Look at different problem areas within the healthcare industry and solve them in a code-first approach Explore and understand advanced topics such as multi-task learning, transformers, and graph convolutional networks Understand the industry and learn ML .
Artificial Intelligence In Society
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Author : OECD
language : en
Publisher: OECD Publishing
Release Date : 2019-06-11
Artificial Intelligence In Society written by OECD and has been published by OECD Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-11 with categories.
The artificial intelligence (AI) landscape has evolved significantly from 1950 when Alan Turing first posed the question of whether machines can think. Today, AI is transforming societies and economies. It promises to generate productivity gains, improve well-being and help address global challenges, such as climate change, resource scarcity and health crises.
Transforming Healthcare
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Author : Sb Wade
language : en
Publisher:
Release Date : 2024-04-26
Transforming Healthcare written by Sb Wade and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-26 with Computers categories.
Book Description If you have followed the news at all over the last 12 months, you will have seen many articles on artificial intelligence. It's been the talk of the tech world for a long time now, with many people debating its role in our society and its many potential benefits and disadvantages. But one thing that many people have not discussed is the impact that it might have on our healthcare system and the healthcare systems around the world. That is, until now. Introducing Transforming Healthcare, an in-depth dive into how we can harness the power of artificial intelligence for enhanced patient care. Like most of the Western world, our healthcare system has certainly seen better days, with plenty of hurdles to overcome when experiencing it through the eyes of a patient. Not to mention the fact that healthcare has notoriously always been slow at taking advantage of new technological opportunities. But with the introduction of recent AI advancements, now is the perfect time to start integrating this new technology into our healthcare system to begin reaping the rewards as soon as possible. Inside Transforming Healthcare, discover: ● the current landscape of technology in healthcare ● the untapped potential of AI in healthcare ● how AI can help personalize patient care further, improving the experience ● the current limitations of AI in healthcare to be conscious of ● how we can move toward an AI-focused healthcare system AI is not going anywhere, and it is only going to improve. It's time for us to embrace the change and use it to our advantage in healthcare.