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The Arts of the Microbial World: Fermentation Science in Twentieth-Century Japan (Synthesis)
by Victoria LeeThe first in-depth study of Japanese fermentation science in the twentieth century.The Arts of the Microbial World explores the significance of fermentation phenomena, both as life processes and as technologies, in Japanese scientific culture. Victoria Lee’s careful study documents how Japanese scientists and skilled workers sought to use the microbe’s natural processes to create new products, from soy-sauce mold starters to MSG, vitamins to statins. In traditional brewing houses as well as in the food, fine chemical, and pharmaceutical industries across Japan, they showcased their ability to deal with the enormous sensitivity and variety of the microbial world. Charting developments in fermentation science from the turn of the twentieth century, when Japan was an industrializing country on the periphery of the world economy, to 1980 when it had emerged as a global technological and economic power, Lee highlights the role of indigenous techniques in modern science as it took shape in Japan. In doing so, she reveals how knowledge of microbes lay at the heart of some of Japan’s most prominent technological breakthroughs in the global economy. At a moment when twenty-first-century developments in the fields of antibiotic resistance, the microbiome, and green chemistry suggest that the traditional eradication-based approach to the microbial world is unsustainable, twentieth-century Japanese microbiology provides a new, broader vantage for understanding and managing microbial interactions with society.
Arts of Dying: Literature and Finitude in Medieval England
by D. Vance SmithPeople in the Middle Ages had chantry chapels, mortuary rolls, the daily observance of the Office of the Dead, and even purgatory—but they were still unable to talk about death. Their inability wasn’t due to religion, but philosophy: saying someone is dead is nonsense, as the person no longer is. The one thing that can talk about something that is not, as D. Vance Smith shows in this innovative, provocative book, is literature. Covering the emergence of English literature from the Old English to the late medieval periods, Arts of Dying argues that the problem of how to designate death produced a long tradition of literature about dying, which continues in the work of Heidegger, Blanchot, and Gillian Rose. Philosophy’s attempt to designate death’s impossibility is part of a literature that imagines a relationship with death, a literature that intensively and self-reflexively supposes that its very terms might solve the problem of the termination of life. A lyrical and elegiac exploration that combines medieval work on the philosophy of language with contemporary theorizing on death and dying, Arts of Dying is an important contribution to medieval studies, literary criticism, phenomenology, and continental philosophy.
Artists Who Changed History (DK History Changers)
by DKThis visual celebration of the world's most celebrated thinkers tells the fascinating stories of their lives and pioneering ideas.Artists Who Changed History places well-known artists in their historical and cultural context, showing you how they came to influence Art as we know it today. This illustrated guide is ideal for those interested in art, sculptures, and the history of art or who would like to broaden their general understanding of art and the lives of artists.Inside this book on artists, you’ll find:-An overview of the lives and works of around 80 of the world's most influential artists - Middle Ages to the present day-Eight pages of brand-new content with 12 new entries, including Judith Leyster and Frank Bowling-Lavishly illustrated portraits of each artist alongside photographs of their homes and studios, original sketches, notebooks, lettersIn this Art guide, each artist is introduced with a realistic portrait and biographical entries that trace the friendships, loves, and rivalries that inspired and influenced them. Entries explore each individual's key ideas and working methods and set their ideas in context, conveying a powerful sense of the place and the period of history in which they lived. Artists Who Changed History provides revealing insights into what drove each individual to develop new ways of understanding the world.
Artists in Residence: Seventeen Artists and Their Living Spaces, from Giverny to Casa Azul
by Melissa WyseArtists in Residence explores the homes of 17 legendary and contemporary artists.Readers can peek inside Georgia O'Keeffe's adobe courtyards, stroll through Henri Matisse's vibrant aviary, and peruse Jean-Michel Basquiat's collection of over 1,000 videotapes.A house or an apartment is not simply a place to eat and sleep for these artists; they transform quotidian spaces into dynamic reflections of their individual artistic preoccupations.• Offers a fascinating and inspiring blend of art history, interior design, and travel• Invites readers to peer behind the closed doors of top artists from around the world• Richly illustrated throughoutThrough vivid text and image, Artists in Residence explores how each artist's living space relates to their individual and distinct artist practice.Readers gain a deeper appreciation of their favorite artists' work, and perhaps discover a new favorite visual along the way.• This petite jacketed hardcover book makes a wonderful gift for artists and art fans everywhere.
Artificial Misinformation: Exploring Human-Algorithm Interaction Online
by Donghee ShinThis book serves as a guide to understanding the dynamics of AI in human contexts with a specific focus on the generation, sharing, and consumption of misinformation online. How do humans and AI interact? How is AI shaping our understanding of ourselves and our societies? What are the interaction mechanisms that govern how humans and algorithms contribute to misinformation online? And how do we bridge the gap between ethical considerations and practical realities to make responsible, reliable systems? Exploring these questions, the book empowers humans to make AI design choices that allow them meaningful control over AI and the online sphere. Calling for an interdisciplinary approach toward human-misinformation algorithmic interaction that focuses on building methods and tools that robustly deal with complex psychological/social phenomena, the book offers a compelling insight into the future of AI-based society.
Artificial Intelligence Logic and Applications: The 2nd International Conference, AILA 2022, Shanghai, China, August 26–28, 2022, Proceedings (Communications in Computer and Information Science #1657)
by Songmao Zhang Yixiang ChenThis book constitutes refereed proceedings of the 2nd International Conference on Artificial Intelligence Logic and Applications 2022 held in Shanghai, China from August 26–28, 2022.The 20 full papers presented in this volume were carefully reviewed and selected from a total of 27 submissions. The papers in the volume are organised according to the following topical headings: program logic; fuzzy logic; applications; author index.
Artificial Intelligence in Vision-Based Structural Health Monitoring (Synthesis Lectures on Mechanical Engineering)
by Khalid M. Mosalam Yuqing GaoThis book provides a comprehensive coverage of the state-of-the-art artificial intelligence (AI) technologies in vision-based structural health monitoring (SHM). In this data explosion epoch, AI-aided SHM and rapid damage assessment after natural hazards have become of great interest in civil and structural engineering, where using machine and deep learning in vision-based SHM brings new research direction. As researchers begin to apply these concepts to the structural engineering domain, especially in SHM, several critical scientific questions need to be addressed: (1) What can AI solve for the SHM problems? (2) What are the relevant AI technologies? (3) What is the effectiveness of the AI approaches in vision-based SHM? (4) How to improve the adaptability of the AI approaches for practical projects? (5) How to build a resilient AI-aided disaster prevention system making use of the vision-based SHM? This book introduces and implements the state-of-the-art machine learning and deep learning technologies for vision-based SHM applications. Specifically, corresponding to the above-mentioned scientific questions, it consists of: (1) motivation, background & progress of AI-aided vision-based SHM, (2) fundamentals of machine learning & deep learning approaches, (3) basic AI applications in vision-based SHM, (4) advanced topics & approaches, and (5) resilient AI-aided applications. In the introduction, a brief coverage about the development progress of AI technologies in the vision-based area is presented. It gives the readers the motivations and background of the relevant research. In Part I, basic knowledges of machine and deep learning are introduced, which provide the foundation for the readers irrespective of their background. In Part II, to verify the effectiveness of the AI methods, the key procedure of the typical AI-aided SHM applications (classification, localization, and segmentation) is explored, including vision data collection, data pre-processing,transfer learning-based training mechanism, evaluation, and analysis. In Part III, advanced AI topics, e.g., generative adversarial network, semi-supervised learning, and active learning, are discussed. They aim to address several critical issues in practical projects, e.g., the lack of well-labeled data and imbalanced labels, to improve the adaptability of the AI models. In Part IV, the new concept of “resilient AI” is introduced to establish an intelligent disaster prevention system, multi-modality learning, multi-task learning, and interpretable AI technologies. These advances are aimed towards increasing the robustness and explainability of the AI-enabled SHM system, and ultimately leading to improved resiliency.The scope covered in this book is not only beneficial for education purposes but also is essential for modern industrial applications. The target audience is broad and includes students, engineers, and researchers in civil engineering, statistics, and computer science. Unique Book Features:• Provide a comprehensive review of the rapidly expanding field of vision-based structural health monitoring (SHM) using artificial intelligence approaches. • Re-organize fundamental knowledge specific to the machine and deep learning in vision tasks.• Include comprehensive details about the procedure of conducting AI approaches for vision-based SHM along with examples and exercises.• Cover a vast array of special topics and advanced AI-enabled vision-based SHM applications.• List a few potential extensions for inspiring the readers for future investigation.
Artificial Intelligence in HCI: 5th International Conference, AI-HCI 2024, Held as Part of the 26th HCI International Conference, HCII 2024, Washington, DC, USA, June 29–July 4, 2024, Proceedings, Part III (Lecture Notes in Computer Science #14736)
by Helmut Degen Stavroula NtoaThe three-volume book set LNAI 14734, 14735, and 14736 constitutes the refereed proceedings of 5th International Conference on Artificial Intelligence in HCI, AI-HCI 2024, held as part of the 26th International Conference, HCI International 2024, which took place in Washington, DC, USA, during June 29-July 4, 2024. The total of 1271 papers and 309 posters included in the HCII 2024 proceedings was carefully reviewed and selected from 5108 submissions. The AI-HCI 2024 proceedings were organized in the following topical sections: Part I: Human-centered artificial intelligence; explainability and transparency; AI systems and frameworks in HCI; Part II: Ethical considerations and trust in AI; enhancing user experience through AI-driven technologies; AI in industry and operations; Part III: Large language models for enhanced interaction; advancing human-robot interaction through AI; AI applications for social impact and human wellbeing.
Artificial Intelligence in Education: The Power and Dangers of ChatGPT in the Classroom (Studies in Big Data #144)
by Amina Al-Marzouqi Said A. Salloum Mohammed Al-Saidat Ahmed Aburayya Babeet GuptaThis book aims to bring together a collection of innovative and cutting-edge research that addresses the various challenges in the application and theoretical aspects of ChatGPT in education. ChatGPT is a large language model developed by OpenAI that has the ability to generate human-like text based on a prompt. This has significant potential for use in the field of education, as it allows for the creation of personalized, interactive learning experiences, automating assessment and grading, and more. In e-learning, ChatGPT is used to provide instant feedback and support to students, as well as generate interactive conversations in the target language for language learning. It is also integrated with existing learning management systems and educational technology platforms to enhance their capabilities. In research, ChatGPT is used for natural language processing and sentiment analysis to gather insights on student learning experiences and educational outcomes. However, it is important to note that there are also ethical and privacy concerns that come with using language models like ChatGPT in education, such as data protection and the potential for bias. Overall, the use of ChatGPT in education has the potential to revolutionize the way we learn, teach, and access information. The book seeks to publish original manuscripts that cover a broad range of topics, from the development of new chatbot technologies and their integration into the classroom, to the examination of the ethical and pedagogical implications of these systems. By compiling the latest developments in the field and highlighting new areas for exploration, this book provides valuable insights and perspectives for researchers, educators, and practitioners working in the field of ChatGPT and education. The ultimate goal is to advance the understanding of ChatGPT and its role in education and to promote its effective and responsible use in the classroom and beyond.
Artificial Intelligence in Drug Development: Patenting and Regulatory Aspects (Frontiers of Artificial Intelligence, Ethics and Multidisciplinary Applications)
by Kavita Sharma Padmavati ManchikantiThis book discusses how Artificial Intelligence developments have revolutionized the area of medicine and how companies use them to develop applications. While the book covers the growth of AI in medicine and the early developments in AI based medical tools, it provides an in-depth analysis of the current developments in relation to the area of medical diagnostics. The book focuses on how enterprises and institutes have developed their intellectual property portfolio, particularly patents, in this area. Cross-country patenting analysis helps in understanding key areas of growth in certain markets and also company strategies and arrangements. The introduction of AI based products in market is subject to regulation. The developments in policy and regulation influence the development and deployment of such products into the market. This book brings focus to the development of policy and regulation and how regulatory developments impact the introduction of AI-based healthcare products from a cross-country perspective. Further, how regulatory developments lead to the evolution of standards, build reliability and safety in this area are also examined. The unique aspect of this book is the comprehensive coverage of the dual aspects of the nature and scope of AI-based innovations in health care and the related drug regulatory aspects which are imperative for the understanding for students, researchers, and those who work in this area.
Artificial Intelligence in China: Proceedings of the 5th International Conference on Artificial Intelligence in China (Lecture Notes in Electrical Engineering #1043)
by Wei Wang Jiasong Mu Xin Liu Zhenyu Na NaThis book brings together papers presented at the 2023 The International Conference on Artificial Intelligence in China (ChinaAI), which provides a venue to disseminate the latest developments and to discuss the interactions and links between these multidisciplinary fields. Spanning topics covering all topics in Artificial Intelligence with new development in China, this book is aimed at undergraduate and graduate students in Electrical Engineering, Computer Science and Mathematics, researchers and engineers from academia and industry as well as government employees (such as NSF, DOD, DOE).
Artificial Intelligence for Sustainable Energy: Select Proceedings of the International Conference, GEn-CITy 2023 (Lecture Notes in Electrical Engineering #1142)
by Jimson Mathew Lenin Gopal Filbert H. JuwonoThis book presents select proceedings of the International Conference on Green Energy, Computing, and Intelligent Technology (GEn-CITy 2023) held at the University of Southampton Malaysia in July 2023. This book primarily covers clean energy and intelligent technologies for a sustainable future. This book serves as a forum for engineers, researchers, and specialists from academia, research centers, and industry worldwide to discuss and present the latest developments and applications related to the challenges of securing green and clean energy sources for the 21st century to protect the environment.
Artificial Intelligence for Sustainable Development (EAI/Springer Innovations in Communication and Computing)
by Anandakumar Haldorai Babitha Lincy R Suriya Murugan Minu BalakrishnanThis book delves into the synergy between AI and sustainability. This comprehensive guide illuminates the latest trends and cutting-edge techniques, offering invaluable insights for researchers, practitioners, and policymakers interested in the cross-section of AI and sustainability. The authors illustrate how AI-driven innovations are revolutionizing environmental conservation, urban planning, healthcare, and more. The book also considers the ethical considerations and governance frameworks crucial to harnessing AI's potential for global benefit. Whether a seasoned expert or a curious newcomer, this book empowers readers to navigate the dynamic landscape of AI and sustainability, paving the way for a more eco-conscious and equitable world.
Artificial Intelligence for Risk Mitigation in the Financial Industry
by Narayan C. Debnath Archana Patel Purvi Pokhariyal Shweta Anand Ambrish Kumar MishraArtificial Intelligence for Risk Mitigation in the Financial Industry This book extensively explores the implementation of AI in the risk mitigation process and provides information for auditing, banking, and financial sectors on how to reduce risk and enhance effective reliability. The applications of the financial industry incorporate vast volumes of structured and unstructured data to gain insight into the financial and non-financial performance of companies. As a result of exponentially increasing data, auditors and management professionals need to enhance processing capabilities while maintaining the effectiveness and reliability of the risk mitigation process. The risk mitigation and audit procedures are processes involving the progression of activities to “transform inputs into output.” As AI systems continue to grow mainstream, it is difficult to imagine an aspect of risk mitigation in the financial industry that will not require AI-related assurance or AI-assisted advisory services. AI can be used as a strong tool in many ways, like the prevention of fraud, money laundering, and cybercrime, detection of risks and probability of NPAs at early stages, sound lending, etc. Audience This is an introductory book that provides insights into the advantages of risk mitigation by the adoption of AI in the financial industry. The subject is not only restricted to individuals like researchers, auditors, and management professionals, but also includes decision-making authorities like the government. This book is a valuable guide to the utilization of AI for risk mitigation and will serve as an important standalone reference for years to come.
Artificial Intelligence for Neuroscience and Emotional Systems: 10th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2024, Olhâo, Portugal, June 4–7, 2024, Proceedings, Part I (Lecture Notes in Computer Science #14674)
by Hojjat Adeli José Manuel Ferrández Vicente Mikel Val CalvoThe two volume set LNCS 14674 and 14675 constitutes the proceedings of the 10th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2024, which took place in Olhâo, Portugal, during June 4–7, 2024. The 99 full papers presented in these proceedings were carefully reviewed and selected from 193 submissions. They were organized in topical sections as follows: Part I: Machine learning in neuroscience; artificial intelligence in neurophysiology; neuromotor and cognitive disorders; intelligent systems for assessment, treatment, and assistance in early stages of Alzheimer's disease and other dementias; socio-cognitive, affective and physiological computing; affective computing and context awareness in ambientintelliigence; learning tools to lecture; Part II: Machine learning in computer vision and robotics; bio-inspired computing approaches; social and civil engineering through human AI translations; smart renewable energies: advancing AI algorithms in the renewable energy industry; bioinspired applications.
Artificial Intelligence for Learning: Using AI and Generative AI to Support Learner Development
by Donald ClarkWith Artificial Intelligence (AI) creating huge opportunities for learning and employee development, how can learning professionals best implement the use of AI into their environment?Artificial Intelligence for Learning is the essential guide for learning professionals who want to understand how to use AI to improve all aspects of learning in organizations. This new edition debunks the myths and misconceptions around AI, discusses the learning theory behind generative AI and gives strategic and practical advice on how AI can be used.This book also includes specific guidance on how AI can provide learning support, chatbot functionality and content, as well as ideas on ethics and personalization. This book is necessary reading for all learning practitioners needing to understand AI and what it means in practice.
Artificial Intelligence, Ethics and the Future of Warfare: Global Perspectives
by Kaushik RoyThis volume examines how the adoption of AI technologies is likely to impact strategic and operational planning, and the possible future tactical scenarios for conventional, unconventional, cyber, space and nuclear force structures. In addition to developments in the USA, Britain, Russia and China, the volume also explores how different Asian and European countries are actively integrating AI into their military readiness. It studies the effect of AI and related technologies in training regimens and command structures. The book also covers the ethical and legal aspects of AI augmented warfare.The volume will be of great interest to scholars, students and researchers of military and strategic studies, defence studies, artificial intelligence and ethics.
Artificial Intelligence-Based System for Gaze-Based Communication
by B.G.D.A. Madhusanka Sureswaran Ramadass Premkumar Rajagopal H.M.K.K.M.B. HerathThis book focuses on the artificial neural network-based system for gaze-based communication. It covers the feasible and practical collaboration of human–computer interaction (HCI) in which a user can intuitively express tasks using gaze-based communication. It will target the vast applications of gaze-based communication using computer vision, image processing, and artificial intelligence.Artificial Intelligence-Based System for Gaze-Based Communication introduces a novel method to recognize the implicit intention of users by using nonverbal communication in combination with computer vision technologies. A novel HCI framework is developed to enable implicit and intuitive gaze-based intention communications. This framework allows the users to intuitively express their intention using natural gaze cues. The book also focuses on robot caregiving technology, which can understand the user’s intentions using minimal interactions with the user. The authors examine gaze-based tracking applications for the assisted living of elderly people. The book examines detailed applications of eye-gaze communication for real-life problems. It also examines the advantages that most people can handle gaze-based communications because it requires very little effort, and most of the elderly and impaired can retain visual capability.This book is ideally designed for students, researchers, academicians, and professionals interested in exploring and implementing gaze-based communication strategies and those working in the field of computer vision and image processing.
Artificial Intelligence and Visualization: Advancing Visual Knowledge Discovery (Studies in Computational Intelligence #1126)
by Kawa Nazemi Boris Kovalerchuk Răzvan Andonie Nuno Datia Ebad BannissiThis book continues a series of Springer publications devoted to the emerging field of Integrated Artificial Intelligence and Machine Learning with Visual Knowledge Discovery and Visual Analytics that combine advances in both fields. Artificial Intelligence and Machine Learning face long-standing challenges of explainability and interpretability that underpin trust. Such attributes are fundamental to both decision-making and knowledge discovery. Models are approximations and, at best, interpretations of reality that are transposed to algorithmic form. A visual explanation paradigm is critically important to address such challenges, as current studies demonstrate in salience analysis in deep learning for images and texts. Visualization means are generally effective for discovering and explaining high-dimensional patterns in all high-dimensional data, while preserving data properties and relations in visualizations is challenging. Recent developments, such as in General Line Coordinates, open new opportunities to address such challenges.This book contains extended papers presented in 2021 and 2022 at the International Conference on Information Visualization (IV) on AI and Visual Analytics, with 18 chapters from international collaborators. The book builds on the previous volume, published in 2022 in the Studies in Computational Intelligence. The current book focuses on the following themes: knowledge discovery with lossless visualizations, AI/ML through visual knowledge discovery with visual analytics case studies application, and visual knowledge discovery in text mining and natural language processing. The intended audience for this collection includes but is not limited to developers of emerging AI/machine learning and visualization applications, scientists, practitioners, and research students. It has multiple examples of the current integration of AI/machine learning and visualization for visual knowledge discovery, visual analytics, and text and natural language processing. The book provides case examples for future directions in this domain. New researchers find inspiration to join the profession of the field of AI/machine learning through a visualization lens.
Artificial Intelligence and the Law
by Tshilidzi Marwala Letlhokwa George MpediThis textbook offers a starting point for the education of attorneys and other legal professionals about the potential impact of artificial intelligence (AI) on the law, as well as a forum for discussing artificial intelligence's legal and ethical concerns. Intended for classroom use, this book will help students, legal professionals and policymakers alike. AI is swiftly transforming the world, including the legal system. Legal applications to areas such as ethics, human rights, climate change, labor law, health, social protection, inequality, lethal autonomous weapons, the criminal justice system and autonomous vehicles, contract drafting, legal investigation, criminal analysis and evidence investigation, utilize AI. As AI becomes more sophisticated, its impact on the law will likely increase.
Artificial Intelligence and Sustainable Computing: Proceedings of ICSISCET 2023 (Algorithms for Intelligent Systems)
by Sandeep Kumar Manjaree Pandit M. K. GaurThis book presents high-quality research papers presented at the 5th International Conference on Sustainable and Innovative Solutions for Current Challenges in Engineering and Technology (ICSISCET 2023) held at Madhav Institute of Technology & Science (MITS), Gwalior, India, during October 21–22, 2023. The book extensively covers recent research in artificial intelligence (AI) that knit together nature-inspired algorithms, evolutionary computing, fuzzy systems, computational intelligence, machine learning, deep learning, etc., which is very useful while dealing with real problems due to their model-free structure, learning ability, and flexible approach. These techniques mimic human thinking and decision-making abilities to produce systems that are intelligent, efficient, cost-effective, and fast. The book provides a friendly and informative treatment of the topics which makes this book an ideal reference for both beginners and experienced researchers.
Artificial Intelligence and Economic Sustainability in the Era of Industrial Revolution 5.0 (Studies in Systems, Decision and Control #528)
by Abdalmuttaleb M. A. Musleh Al-Sartawi Abdulnaser Ibrahim NourIndustry 5.0 has been dubbed as the digital revolution with a soul. This book incorporates a wealth of research which integrates artificial intelligence (AI) with economic sustainability and Industry 5.0. It examines the human-centricity of the upcoming digital revolution and the role of sustainable technologies in enhancing the livelihoods of workers, individuals, communities, and eventually societies. It provides insight on important areas related to artificial intelligence, sustainable development, and society 5.0. The chapters present a wide range of topics including block cipher, entrepreneurship and AI, AI and stock trading decisions, digital transformation, knowledge management, chatbot engineering, cybersecurity, and smart metering system. This book is beneficial to scholars and academics who will find in it the knowledge of the support of AI and its contribution to economic sustainability, and solutions to enhance human-centricity and resilience.
Artificial Intelligence: What Is Behind the Technology of the Future?
by Gerhard Paaß Dirk HeckerArtificial Intelligence (AI) is already present in our daily routines, and in the future, we will encounter it in almost every aspect of life – from analyzing X-rays for medical diagnosis, driving autonomous cars, maintaining complex machinery, to drafting essays on environmental problems and drawing imaginative pictures. The potentials of AI are enormous, while at the same time many myths, uncertainties and challenges circulate that need to be tackled. The English translation of the book “Künstliche Intelligenz – Was steckt hinter der Technologie der Zukunft?” originally published in German (Springer Vieweg, 2020), this book is addressed to the general public, from interested citizens to corporate executives who want to develop a better and deeper understanding of AI technologies and assess their consequences. Mathematical basics, terminology, and methods are explained in understandable language. Adaptations to different media such as images, text, and speech and the corresponding generative models are introduced. A concluding discussion of opportunities and challenges helps readers evaluate new developments, demystify them, and assess their relevance for the future.
Artificial and Cognitive Computing for Sustainable Healthcare Systems in Smart Cities
by Prasenjit Chatterjee Devasis Pradhan Prasanna Kumar Sahu Hla Myo TunArtificial and Cognitive Computing for Sustainable Healthcare Systems in Smart Cities delves into the transformative potential of artificial and cognitive computing in the realm of healthcare systems, maintaining a specific emphasis on sustainability. By exploring the integration of advanced technologies in smart cities, the authors examine and discuss how AI and cognitive computing can be harnessed to enhance healthcare delivery. The book provides focused navigation through innovative solutions and strategies that contribute to the creation of sustainable healthcare ecosystems within the dynamic environment of smart cities. From optimizing resource utilization to improving patient outcomes, this comprehensive exploration provides insight for readers with an interest in the future of healthcare within the era of intelligent urban development.
Arthroscopic Shoulder Surgery: Complications and Management
by Terry ThompsonA comprehensive reference for the current surgical landscape of arthroscopic shoulder surgery, Arthroscopic Shoulder Surgery: Complications and Managementprovides expert opinions on the management of commonly encountered and unusual complications. As there is currently no other up-to-date resource dedicated wholly to complications in shoulder arthroscopy, this will become a go-to resource.Edited by Dr. Terry L. Thompson, alongside expert contributor perspectives on management and preferred treatment, Arthroscopic Shoulder Surgery is a great asset for any practicing orthopedic surgeon performing arthroscopic shoulder surgery, including fellowship-trained shoulder surgeons, sports medicine surgeons, orthopedic surgery residents, and sports medicine and shoulder fellows. By showcasing a broad range of complications and adverse outcomes, this text will assist with cases from adolescents through older adults.Each chapter in Arthroscopic Shoulder Surgery includes: Epidemiology Review of the literature Etiology Author’s preferred treatment with pearls Case presentations including radiographic and surgical images Arthroscopic Shoulder Surgery: Complications and Management is a necessary text discussing one of the most rapidly growing procedures in orthopedic surgery and meeting a need within the orthopedic community to discuss complications. Bringing together literature with tips and tricks from established leaders in shoulder surgery makes this an invaluable resource on handling complications of arthroscopic surgery of the shoulder.