Artificial intelligence (AI) Books
Clarendon Press Features and Fluents
Book SynopsisTechniques for reasoning about actions an change in the physical world is one of the classical research topics in artificial intelligence. It is motivated by the needs of autonomous robots which must be able to anticipate their immediate future, to plan their future actions, and to figure out what went wrong in case of problems. It is also motivated by the needs of common-sense reasoning for example in the understanding of natural language texts, where processes and change over time is an ever-present phenomenon. The same set of problems arises in several other areas of computing such as in conceptual modelling for data bases, and in the rapidly growing area of intelligent control.The present research monograph presents and uses a novel methodology for reasoning about actions and change. Traditional research contributions have proposed new logic variants which were only supported by episodical examples. THe work described here uses a systematic methodology for identifying the exact ranTrade ReviewThe book presents deep and serious insight into inert and inhabited dynamical systems (IDS). * Zentralblatt fur Mathematik *Those working in nonmonotonic reasoning, planning, temporal logic, reasoning about actions and change, and related areas will find this book worth reading. * Computing Reviews *Table of ContentsInert and inhabited dynamical systems ; Inference operations on scenario descriptions ; Underlying semantics for IDS worlds ; Elementary feature logic and meta-logical concepts ; Lexical-domain object-feature logic ; Temporal feature logic for discrete time domains ; Chronicle completion in k-IA ; Intended models for chronicles in k-IA ; Entailment methods for k-IA using DFL-1 ; Duration constraints ; Entailment methods for k-OA using occlusion ; Composite actions ; Upper applicability bounds and assessment of soundness ; Future directions ; Terms index ; Notation ; References to related work
£93.72
Taylor & Francis Ltd AI and Human Thought and Emotion
Book SynopsisThe field of artificial intelligence (AI) has grown dramatically in recent decades from niche expert systems to the current myriad of deep machine learning applications that include personal assistants, natural-language interfaces, and medical, financial, and traffic management systems. This boom in AI engineering masks the fact that all current AI systems are based on two fundamental ideas: mathematics (logic and statistics, from the 19th century), and a grossly simplified understanding of biology (mainly neurons, as understood in 1943). This book explores other fundamental ideas that have the potential to make AI more anthropomorphic. Most books on AI are technical and do not consider the humanities. Most books in the humanities treat technology in a similar manner. AI and Human Thought and Emotion, however is about AI, how academics, researchers, scientists, and practitioners came to think about AI the way they do, and how they can think about it afresh with a humanTable of Contents0. Introduction. PART I. Intelligence in Computers, Humans and Societies. 1. Artificial Intelligence as It Stands. 2. Current Critiques of Artificial Intelligence. 3. Human Thinking: Anxiety and Pretence. 4. Prevailing Prejudices Pertaining to Artificial Intelligence. PART II. An Alternative: AI, Subjectivity and Introspection. 5. Central Argument Outline. Main Term: "Anthropic AI." 7. Main Term: "Introspection." 8. Introspection is Ligitimate. 9. Introspection is Likely to Be Profitable. PART III Getting Practical. 10. Details and How to Use Introspection for Artificial Intelligence. 11. Examples. 12. A More Sophisticated Example. 13. Summary, Consequences, Conclusion.
£95.00
Taylor & Francis Robots Healthcare and the Law Regulating Automation in Personal Care Routledge Research in the Law of Emerging Technologies
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£109.25
Taylor & Francis Expert Systems in Finance
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£128.25
Taylor & Francis A CognitiveHistorical Approach to Creativity
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£128.25
Taylor & Francis Ltd The Routledge Social Science Handbook of AI
Book SynopsisThe Routledge Social Science Handbook of AI is a landmark volume providing students and teachers with a comprehensive and accessible guide to the major topics and trends of research in the social sciences of artificial intelligence (AI), as well as surveying how the digital revolution from supercomputers and social media to advanced automation and robotics is transforming society, culture, politics and economy. The Handbook provides representative coverage of the full range of social science engagements with the AI revolution, from employment and jobs to education and new digital skills to automated technologies of military warfare and the future of ethics. The reference work is introduced by editor Anthony Elliott, who addresses the question of relationship of social sciences to artificial intelligence, and who surveys various convergences and divergences between contemporary social theory and the digital revolution.The Handbook is excepTrade Review"As expected from a handbook with the goal of summarizing current debates, questions are posed and controversies noted more often than answers are offered in this collection of 21 essays. However, surveying so many different angles on artificial intelligence (AI) allows some insight-inducing themes to emerge. AI and machine learning (ML) are everywhere, from a cellphone's virtual assistant to tech support chatbots, including in the machines that decipher handwritten addresses for the US Postal Service. Many AI systems are assisted by small armies of humans who fill in when the software fails. Such technology remains invisible to most people yet shapes their understandings of the world and themselves. People think and categorize, work, play, and govern themselves differently because of AI—they adopt algorithmic thinking, see new value in inferential reasoning because of big data, and treat anthropomorphic robots like persons. Sometimes these changes are obvious or can be articulated, but some seem to influence human experience and expectations of the world itself, as in the debatable but widespread idea that minds are computers, and computers are (so far fairly limited) minds. Many will use this book, though specialists are likely to be most interested. Summing Up: Highly recommended. Lower- and upper-division undergraduates. Graduate students and faculty. General readers."Matthew J. Moore, Professor of Political Science, California Polytechnic State University, San Luis Obispo, USATable of ContentsPart I: Social Science Approaches to Artificial Intelligence 1. The Complex Systems of AI: Recent Trajectories of Social Theory 2. Geographies of AI 3. Artificial Intelligence and Psychology 4. AI in the Age of Technoscience: On the Rise of Data-Driven AI and its Epistem-Ontological Foundations 5. Work, Employment and Unemployment After AI 6. Affects After AI: Sociological Perspectives on Artificial Companionship 7. Anthropology, AI and Robotics 8. Ethics of Artificial Intelligence 9. Human-Machine Interaction and Design Methods Part II: Fields of Artificial Intelligence in Social Science Research 10. Management and Organisation in the Age of AI 11. Ambivalent Places of Politics: The Social Construction of Certainties in Automated Mobilities and Artificial Intelligence 12. Smart Environments 13. Models of Law and Regulation for AI 14. Artificial Intelligence and Cyber-security 15. Lethal Autonomous Weapons Systems 16. AI and Worldviews in the Age of Computational Power 17. Technogenarians: Ageing and Robotic Care 18. Big Data and Data Analytics 19. AI, Culture Industries and Entertainment 20. AI, Robotics, Medicine and Health Sciences 21. AI, Smart Borders and Migration
£204.25
Taylor & Francis Predictive Policing and Artificial Intelligence Routledge Frontiers of Criminal Justice
Book SynopsisThis edited text draws together the insights of numerous worldwide eminent academics to evaluate the condition of predictive policing and artificial intelligence (AI) as interlocked policy areas. Predictive and AI technologies are growing in prominence and at an unprecedented rate. Powerful digital crime mapping tools are being used to identify crime hotspots in real-time, as pattern-matching and search algorithms are sorting through huge police databases populated by growing volumes of data in an eff ort to identify people liable to experience (or commit) crime, places likely to host it, and variables associated with its solvability. Facial and vehicle recognition cameras are locating criminals as they move, while police services develop strategies informed by machine learning and other kinds of predictive analytics. Many of these innovations are features of modern policing in the UK, the US and Australia, among other jurisdictions.AI promises to reduce unnecessary labour, speed up various forms of police work, encourage police forces to more efficiently apportion their resources, and enable police officers to prevent crime and protect people from a variety of future harms. However, the promises of predictive and AI technologies and innovations do not always match reality. They often have significant weaknesses, come at a considerable cost and require challenging trade- off s to be made. Focusing on the UK, the US and Australia, this book explores themes of choice architecture, decision- making, human rights, accountability and the rule of law, as well as future uses of AI and predictive technologies in various policing contexts. The text contributes to ongoing debates on the benefits and biases of predictive algorithms, big data sets, machine learning systems, and broader policing strategies and challenges.Written in a clear and direct style, this book will appeal to students and scholars of policing, criminology, crime science, sociology, computer science, cognitive psychology and all those interested in the emergence of AI as a feature of contemporary policing. Table of ContentsIntroduction 1.The Future of AI in Policing: Exploring the sociotechnical imaginaries Part One: Bias and Big Data 2.Predictive Policing through Risk Assessment 3.Policing, AI and Choice Architecture 4.What Big Data in Health Care Can Teach Us About Predictive Policing 5.Artificial Intelligence and Online Extremism: Challenges and Opportunities 6.Predictive Policing and Criminal Law Part Two: Police Accountability and Human Rights 7.Accountability and indeterminacy in predictive policing 8.Machine learning predictive algorithms and the policing of future crimes: governance and oversight 9.'Algorithmic impropriety' in UK policing contexts: A developing narrative? 10.Big Data Policing: Governing the Machines? 11.Decision-Making: Using technology to enhance learning in police officers Conclusion
£128.25
Taylor & Francis Ltd The Organisation of Tomorrow How AI blockchain and analytics turn your business into a data organisation
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£128.25
Taylor & Francis Artificial Intelligence in Sport Performance Analysis
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£128.25
Taylor & Francis Artificial Intelligence in Sport Performance Analysis
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£37.99
Taylor & Francis Ltd The Routledge Handbook of FinTech Routledge International Handbooks
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£204.25
Taylor & Francis The Digital Transformation of Labor
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£128.25
Taylor & Francis AI in Health
Book SynopsisWe 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, operationaTrade Review"Practical, insightful and a page turning read. Tom makes short work of the much-hyped topic of artificial intelligence, drawing on decades of experience to find the pattern between a series of case studies. This no nonsense book is a must read primer for those working in the healthcare system seeking to understand the impact of AI for the sector, or those entrepreneurial thinkers looking for the business opportunities this revolution will create."- Dr. Simon Kos, CEO, Next Practices and former Chief Medical Officer, Microsoft"Tom Lawry’s new book, "Artificial Intelligence in Healthcare - A Leader’s Guide to Winning in the Age of Intelligent Healthcare Systems" will be landing on real and virtual bookshelves in hospitals and health systems at a most opportune time. After a long incubation period and much hand-wringing about potential downsides of AI, the field is now ready for prime time in healthcare. Leaders in every aspect of the industry will find practical guidance in this concise and well-written book. That includes a clear and comprehensive breakdown of the many different technologies that comprise AI as well as a discussion of the myriad opportunities to leverage AI to improve not only clinical outcomes but workflows and processes in the many support functions that make a healthcare system work. The book will definitely help them cut through the morass of incomplete and sometimes conflicting information on AI and position themselves to lead the Intelligent Health Systems of the future…systems that will be powered by AI. I highly recommend this book."- Dr. Patricia Salber, CEO, The Doctor Weighs In"There is perhaps nothing is more profound than the impact AI will have on how healthcare is delivered in the future. In his new book, Artificial Intelligence in Health - A Leader’s Guide to Winning in the New Age of Intelligent Systems, Tom shares wisdom that comes from a lifetime of experience as a business leader and technologist in the health industry. He has traveled the globe gathering insights from some of the world’s most gifted experts. He examines how AI is being used in healthcare today, as well as where this powerful tech will take us in the future. There are both challenges and opportunities for AI in healthcare and Tom carefully examines both sides of the equation." - Dr. Bill Crounse, CIO, CMIO, Senior Director, Worldwide Heath, Microsoft Corporation (retired)."Mr Lawry’s book is a sensitively written analysis of the opportunities to use AI in healthcare whilst avoiding the pitfalls and the hype. He takes the reader through the key concepts and applies them to healthcare as only an expert in the three fields of health, technology and analytics can. Many people will be familiar with the background to the AI in health story and will struggle to know where to start and end their work. If you want to get the benefits of AI, then this book is for you. It will tell you want good looks like and how to navigate ethics, build a workforce, create new operating models and apply disruptive thinking. I loved it."- Paul Henderson, Regional Director EMIS Health, (UK)"Practical, insightful and a page turning read. Tom makes short work of the much-hyped topic of artificial intelligence, drawing on decades of experience to find the pattern between a series of case studies. This no nonsense book is a must read primer for those working in the healthcare system seeking to understand the impact of AI for the sector, or those entrepreneurial thinkers looking for the business opportunities this revolution will create."- Dr. Simon Kos, CEO, Next Practices and former Chief Medical Officer, Microsoft"Tom Lawry’s new book, "Artificial Intelligence in Healthcare - A Leader’s Guide to Winning in the Age of Intelligent Healthcare Systems" will be landing on real and virtual bookshelves in hospitals and health systems at a most opportune time. After a long incubation period and much hand-wringing about potential downsides of AI, the field is now ready for prime time in healthcare. Leaders in every aspect of the industry will find practical guidance in this concise and well-written book. That includes a clear and comprehensive breakdown of the many different technologies that comprise AI as well as a discussion of the myriad opportunities to leverage AI to improve not only clinical outcomes but workflows and processes in the many support functions that make a healthcare system work. The book will definitely help them cut through the morass of incomplete and sometimes conflicting information on AI and position themselves to lead the Intelligent Health Systems of the future…systems that will be powered by AI. I highly recommend this book."- Dr. Patricia Salber, CEO, The Doctor Weighs In"There is perhaps nothing is more profound than the impact AI will have on how healthcare is delivered in the future. In his new book, Artificial Intelligence in Health - A Leader’s Guide to Winning in the New Age of Intelligent Systems, Tom shares wisdom that comes from a lifetime of experience as a business leader and technologist in the health industry. He has traveled the globe gathering insights from some of the world’s most gifted experts. He examines how AI is being used in healthcare today, as well as where this powerful tech will take us in the future. There are both challenges and opportunities for AI in healthcare and Tom carefully examines both sides of the equation." - Dr. Bill Crounse, CIO, CMIO, Senior Director, Worldwide Heath, Microsoft Corporation (retired)."Mr Lawry’s book is a sensitively written analysis of the opportunities to use AI in healthcare whilst avoiding the pitfalls and the hype. He takes the reader through the key concepts and applies them to healthcare as only an expert in the three fields of health, technology and analytics can. Many people will be familiar with the background to the AI in health story and will struggle to know where to start and end their work. If you want to get the benefits of AI, then this book is for you. It will tell you want good looks like and how to navigate ethics, build a workforce, create new operating models and apply disruptive thinking. I loved it."- Paul Henderson, Regional Director EMIS Health, (UK)Table of ContentsPreface and Acknowledgements. Author. 1 The Future Is Not What It Used to Be. 2 The Rise of the Intelligent Health Consumer. 3 AI Is One Thing and Many Things. 4 From Gods to Geeks – A Brief History of AI. 5 Do Submarines Swim? 6 Creating Value Today with AI. 7 The Leadership Imperative. 8 When AI Meets HR. 9 Engaging Your Clinicians. 10 Making Radiologists More Rad. 11 Understanding and Managing the Ethics of AI. 12 The Role of the Cloud in AI. 13 Manage Your Data Estate Like Your Finances. 14 The Importance of Intelligent HIT Vendors. 15 From Aspiration to Execution. 16 The Road Ahead for AI. Index.
£37.99
Taylor & Francis AI in Health
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£109.25
Taylor & Francis Ltd Fundamentals of Cognitive Science
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£128.25
Taylor & Francis Ltd Fundamentals of Cognitive Science
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£47.49
Taylor & Francis Ltd Its All Analytics Part III
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£55.99
Taylor & Francis Ltd What is Essential to Being Human
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£128.25
Taylor & Francis Ltd Computational Intelligence Paradigms Theory Applications using MATLAB
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£56.99
Taylor & Francis Voice Technology in Healthcare
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£56.04
Taylor & Francis Artificial Intelligence
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£99.75
Taylor & Francis Intellectual Property Protection for AIgenerated Creations
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£128.25
Taylor & Francis Ltd Deep Learning for Biomedical Applications
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Taylor & Francis The Routledge Companion to Artificial Intelligence in Architecture
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£204.25
Taylor & Francis Ltd Metaheuristic Computation with MATLAB
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£109.25
Taylor & Francis Ltd Molecular Networking
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£115.00
Taylor & Francis The Political Economy of Digital Automation Measuring its Impact on Productivity Economic Growth and Consumption Routledge Studies in the Economics of Innovation
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£128.25
Taylor & Francis Ltd Designing Interaction and Interfaces for Automated Vehicles
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£128.25
Taylor & Francis The Frontlines of Artificial Intelligence Ethics
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Taylor & Francis Ltd The Frontlines of Artificial Intelligence Ethics
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£32.99
Taylor & Francis Ltd Regulating Artificial Intelligence
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£128.25
Taylor & Francis Ltd Automation Innovation and Work The Impact of Technological Economic and Social Singularity Routledge Studies in the Economics of Innovation
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£128.25
Taylor & Francis Ltd Convergence of Blockchain AI and IoT
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£89.99
Taylor & Francis Ltd Convergence of Blockchain Technology and EBusiness
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£142.50
Taylor & Francis Ltd Autonomous Driving and Advanced DriverAssistance Systems ADAS
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Taylor & Francis Ltd Artificial Intelligence in a Throughput Model
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Taylor & Francis Ltd Against Automation Mythologies Business Science Fiction and the Ruse of the Robots
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Taylor & Francis Ltd Against Automation Mythologies
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Taylor & Francis Ltd Metaheuristic Computation with MATLAB
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Taylor & Francis Ltd Convergence of Blockchain AI and IoT
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Taylor & Francis Ltd Artificial Intelligence in the Capitalist University
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Taylor & Francis Ltd Industry 4.0 AI and Data Science
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Taylor & Francis Algorithms Automation and News
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Taylor & Francis Ltd Algorithms Automation and News
Book SynopsisThis book examines the growing importance of algorithms and automationincluding emerging forms of artificial intelligencein the gathering, composition, and distribution of news. In it the authors connect a long line of research on journalism and computation with scholarly and professional terrain yet to be explored. Taken as a whole, these chapters share some of the noble ambitions of the pioneering publications on reporting algorithms', such as a desire to see computing help journalists in their watchdog role by holding power to account. However, they also go further, firstly by addressing the fuller range of technologies that computational journalism now consists of: from chatbots and recommender systems to artificial intelligence and atomised journalism. Secondly, they advance the literature by demonstrating the increased variety of uses for these technologies, including engaging underserved audiences, selling subscriptions, and recombining and re-using content. Thirdly, tTable of Contents1. Algorithms, Automation, and News Neil Thurman, Seth C. Lewis and Jessica Kunert2. On the Democratic Role of News Recommenders Natali Helberger3. Newsbots That Mediate Journalist and Audience Relationships Heather Ford and Jonathon Hutchinson4. Public Service Chatbots: Automating Conversation with BBC News Bronwyn Jones and Rhianne Jones5. Selling News to Audiences – A Qualitative Inquiry into the Emerging Logics of Algorithmic News Personalization in European Quality News MediaBalázs Bodó6. Making Artificial Intelligence Work for Investigative Journalism Jonathan Stray7. Human Still in the Loop. Editors Reconsider the Ideals of Professional Journalism Through Automation Marko Milosavljević and Igor Vobič8. News Algorithms, Photojournalism and the Assumption of Mechanical Objectivity in Journalism Matt Carlson9. Structured Journalism and the Semantic Units of News David Caswell10. Atomising the News: The (In)Flexibility of Structured Journalism Rhianne Jones and Bronwyn Jones11. Towards a Design Orientation on Algorithms and Automation in News Production Nicholas Diakopoulos12. Prioritizing the Audience’s View of Automation in Journalism Andrea L. Guzman
£39.99
Taylor & Francis Ltd AI for Death and Dying
Book SynopsisWhat is artificial intelligence (AI)? How does AI affect death matters and the digital beyond? How are death and dying handled in our digital age?AI for Dying and Death covers a broad range of literature, research and challenges around this topic. It explores ethical memorisation, digital legacies and bereavement, post death avatars and AI and the digital beyond. It also analyzes religious perspectives on AI for death and dying, and planning for death in a digital age. Table of ContentsChapter 1 What is Artificial Intelligence?Chapter 2 Death and Dying in the Digital AgeChapter 3 Ethical MemorialisationChapter 4 Digital Legacy ManagementChapter 5 Religious PerspectivesChapter 6 Digital BereavementChapter 7 Digital Afterlife, Digital Immortal Creation and Artificial IntelligenceChapter 8 Artificial Intelligence and the Digital BeyondReferences
£22.99
Taylor & Francis Ltd AIBased Metaheuristics for Information Security and Digital Media
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Taylor & Francis Ltd Ethical Governance of Artificial Intelligence in the Public Sector
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Taylor & Francis Ltd Artificial Intelligence in Healthcare and Medicine
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£128.25