eBooks
3D Printing: Applications in Medicine and Surgery by
Recent advances and technologies in 3D printing have improved and expanded applications for surgery, biomedical engineering, and nanotechnology. In this concise new title, Drs. Georgios Tsoulfas, Petros I. Bangeas, and Jasjit S. Suri synthesize state-of-the-art information on 3D printing and provide guidance on the optimal application in today's surgical practice, from evaluation of the technology to virtual reality and future opportunities. Includes expert guidance on the challenges, opportunities, and limitations of 3D printing in the field of surgery. Covers patient and surgical education, ethics and intellectual property, quality and safety, 3D printing as it relates to nanotechnology, tissue engineering, virtual augmented reality, and more. Consolidates today's available information in this rapidly growing area into a single convenient resource.
ISBN: 9780323661645Publication Date: 2019-11-25
3D Printing: Applications in Medicine and Surgery Volume 2 by
New technologies in 3D printing offer innovative capabilities in surgery, from planning complex operations to providing alternatives to traditional training with more cost-effective outcomes. In 3D Printing: Application in Medical Surgery, Volume 2, Drs. Vasileios N. Papadopoulos, Vassilios Tsioukas, and Jasjit S. Suri bring together up-to-date information on 3D printing and its application in surgical specialties such as hebatobilliary and pancreatic surgery, vascular surgery, orthopedic surgery, obstetrics and gynecology, cardiovascular and thoracic surgery, and more. Discusses challenges and opportunities of 3D printing across surgical sub-specialties. Covers 3D printing and its application in major surgical specialties, as well as dentistry, transplantation, global surgery, and diagnostic and interventional radiology. Consolidates today's available information on this burgeoning topic into a single convenient resource.
ISBN: 9780323661935Publication Date: 2021-09-09
Advances in Artificial Intelligence by
Artificial intelligence in healthcare has become one of the best assisting techniques for clinicians in proper diagnosis and surgery. In biomedical applications, artificial intelligence algorithms are explored for bio-signals, such as electrocardiogram (ECG/EKG), electrooculogram (EOG), electromyogram (EMG), electroencephalogram (EEG), blood pressure, heart rate, and nerve conduction, and for bio-imaging modalities, such as computed tomography (CT), cone-beam computed tomography (CBCT), and MRI (magnetic resonance imaging). Advancements in artificial intelligence and big data have increased the development of innovative medical devices in healthcare applications. Advances in Artificial Intelligence: Biomedical Engineering Applications in Signals and Imaging provides an overview of artificial intelligence in biomedical applications, including both bio-signals and bio-imaging modalities. The chapters contain a mathematical formulation of algorithms and their applications in the biomedical eld, including case studies. Biomedical engineers, advanced students, and researchers can use this book to apply their knowledge in artificial intelligence-based processes to biological signals, implement mathematical models and advanced algorithms, and develop AI-based medical devices.
ISBN: 9780443190735Publication Date: 2024-05-23
AI Ethics by
This overview of the ethical issues raised by artificial intelligence moves beyond hype and nightmare scenarios to address concrete questions-offering a compelling, necessary read for our ChatGPT era. Artificial intelligence powers Google's search engine, enables Facebook to target advertising, and allows Alexa and Siri to do their jobs. AI is also behind self-driving cars, predictive policing, and autonomous weapons that can kill without human intervention. These and other AI applications raise complex ethical issues that are the subject of ongoing debate. This volume in the MIT Press Essential Knowledge series offers an accessible synthesis of these issues. Written by a philosopher of technology, AI Ethicsgoes beyond the usual hype and nightmare scenarios to address concrete questions. Mark Coeckelbergh describes influential AI narratives, ranging from Frankenstein's monster to transhumanism and the technological singularity. He surveys relevant philosophical discussions- questions about the fundamental differences between humans and machines and debates over the moral status of AI. He explains the technology of AI, describing different approaches and focusing on machine learning and data science. He offers an overview of important ethical issues, including privacy concerns, responsibility and the delegation of decision making, transparency, and bias as it arises at all stages of data science processes. He also considers the future of work in an AI economy. Finally, he analyzes a range of policy proposals and discusses challenges for policymakers. He argues for ethical practices that embed values in design, translate democratic values into practices and include a vision of the good life and the good society.
ISBN: 9780262538190Publication Date: 2020-04-07
AI in Clinical Practice by
AI in Clinical Practice: A Guide to Artificial Intelligence and Digital Medicine explains how artificial intelligence is applied to medicine, illustrating not only its enormous potential but also ancillary issues and the limits and risks inherent in its use on a large scale. The book focuses on the intersection between medicine and AI and its implications on the impact of human health care delivery. Topics discussed include wearable devices, health data, Internet of Things, virtual reality, robotic assistance system, and digital intelligence in the health sector. Additionally, sections discuss diagnostics and decision-making systems and machine/deep learning in clinical setting. This is a valuable resource for clinicians, researchers, students and members of the biomedical and medical fields who want to learn more about the use of AI to improve patient care.
ISBN: 9780443140549Publication Date: 2023-11-22
AI Narratives: A History of Imaginative Thinking About Intelligent Machines by
This book is the first to examine the history of imaginative thinking about intelligent machines. As real Artificial Intelligence (AI) begins to touch on all aspects of our lives, this long narrative history shapes how the technology is developed, deployed and regulated. It is therefore a crucial social and ethical issue. Part I of this book provides a historical overview from ancient Greece to the start of modernity. These chapters explore the revealing pre-history of key concerns of contemporary AI discourse, from the nature of mind and creativity to issues of power and rights, from the tension between fascination and ambivalence to investigations into artificial voices and technophobia. Part II focuses on the twentieth and twenty-first-centuries in which a greater density of narratives emerge alongside rapid developments in AI technology. These chapters reveal not only how AI narratives have consistently been entangled with the emergence of real robotics and AI, but also how they offer a rich source of insight into how we might live with these revolutionary machines. Through their close textual engagements, these chapters explore the relationship between imaginative narratives and contemporary debates about AI's social, ethical and philosophical consequences, including questions of dehumanization, automation, anthropomorphisation, cybernetics, cyberpunk, immortality, slavery, and governance. The contributions, from leading humanities and social science scholars, show that narratives about AI offer a crucial epistemic site for exploring contemporary debates about these powerful new technologies.
ISBN: 9780198846666Publication Date: 2020-05-05
The Algorithm: How AI Decides Who Gets Hired, Monitored, Promoted, and Fired and Why We Need to Fight Back Now by
AI is on the brink of dominating our lives, threating our privacy and human future--if we don't take action now. In The Algorithm, Emmy‑award winning Wall Street Journal and Guardian contributor Hilke Schellmann delivers a shocking and illuminating exposé on one of the most pressing civil rights issues of our time: how AI has quietly, and mostly out of sight, taken over the world of work. Schellmann takes readers on a journalistic detective story, meeting job applicants and employees who have been subjected to these technologies, playing AI-based video games that companies use for hiring, and investigating algorithms that scan our online activity to construct personality profiles-- including if we are prone to self -harm. She convinces whistleblowers to share results of faulty AI -tools, and tests algorithms that analyze job candidates' facial expressions and tools that predict from our voices if we are anxious or depressed. Schellmann finds employees whose every keystrokes were tracked and AI that analyzes group discussions or even predicts when someone may leave a company. Her reporting reveals in detail how much employers already know about us and how little we know about the technologies that are used on us. The Algorithm tells an even bigger story with Schellmann discovering faulty algorithms and systemic discrimination of women and people of color, which may have already harmed thousands of job seekers and employees. It advocates to go beyond these tools to more thoughtfully consider how we hire, promote, and treat human beings--with or without AI. As Schellmann emphasizes, we need to decide how we build algorithmic tools in any industry and what protections we need to put in place in an AI-driven world. Hilke Schellmann is an Emmy-award winning investigative reporter and journalism professor at NYU. Her work covering artificial intelligence has been published in The New York Times, The Guardian, the MIT Technology Review, and The Wall Street Journal, where she led a team investigating how AI is changing our lives. She has also reported for NPR's Planet Money podcast on fake online reviews and her investigation for VICE on HBO was a finalist for a Peabody Award. Her PBS Frontline documentary Outlawed in Pakistan premiered at the Sundance Film Festival and was honored with an Emmy award.
ISBN: 9780306827341Publication Date: 2024-01-02
Artificial Intelligence and Big Data Analytics for Smart Healthcare by
Artificial Intelligence and Big Data Analytics for Smart Healthcare serves as a key reference for practitioners and experts involved in healthcare as they strive to enhance the value added of healthcare and develop more sustainable healthcare systems. It brings together insights from emerging sophisticated information and communication technologies such as big data analytics, artificial intelligence, machine learning, data science, medical intelligence, and, by dwelling on their current and prospective applications, highlights managerial and policymaking challenges they may generate. The book is split into five sections: big data infrastructure, framework and design for smart healthcare; signal processing techniques for smart healthcare applications; business analytics (descriptive, diagnostic, predictive and prescriptive) for smart healthcare; emerging tools and techniques for smart healthcare; and challenges (security, privacy, and policy) in big data for smart healthcare. The content is carefully developed to be understandable to different members of healthcare chain to leverage collaborations with researchers and industry.
ISBN: 9780128220603Publication Date: 2021-10-22
Artificial Intelligence and Healthcare: The Impact of Algorithmic Bias on Health Disparities by
This book explores the ethical problems of algorithmic bias and its potential impact on populations that experience health disparities by examining the historical underpinnings of explicit and implicit bias, the influence of the social determinants of health, and the inclusion of racial and ethnic minorities in data. Over the last twenty-five years, the diagnosis and treatment of disease have advanced at breakneck speeds. Currently, we have technologies that have revolutionized the practice of medicine, such as telemedicine, precision medicine, big data, and AI. These technologies, especially AI, promise to improve the quality of patient care, lower health care costs, improve patient treatment outcomes, and decrease patient mortality. AI may also be a tool that reduces health disparities; however, algorithmic bias may impede its success. This book explores the risks of using AI in the context of health disparities. It is of interest to health services researchers,ethicists, policy analysts, social scientists, health disparities researchers, and AI policy makers.
ISBN: 9783031482618Publication Date: 2024-01-02
Artificial Intelligence and Innovation Management by
Artificial Intelligence and Innovation Management contributes to the ongoing debate among innovation scholars and practitioners focusing on the potential impact of Artificial Intelligence (AI) on the ways companies and organizations do business, operate and innovate. It considers AI as a source of innovation both in terms of innovation within the field of AI itself (AI innovation) and in terms of how it enables or disrupts innovation in other fields (AI-driven innovation). The book's content is driven by several important conclusions:It is therefore both necessary and timely to explore the different aspects of the relationship between AI and IM.The contributors to this book include both scholars and practitioners from multiple countries and different types of institutions. They were selected based on their ability to provide a relevant distinctive perspective on the relationship between AI and IM; the degree of their professional engagement with the field; their ability to contribute to the thematic and contextual diversity of the contributions; and their ability to provide actionable insights for both innovation scholars and practitioners.Helena Blackbright (Mälardalen University, Sweden) and Stoyan Tanev (Carleton University, Canada) are chairing the Special Interest Group on AI and IM at the International Society for Professional Innovation Management
ISBN: 9781800611320
Artificial Intelligence for Medicine by
Artificial Intelligence for Medicine: An Applied Reference for Methods and Applications introduces readers to the methodology and AI/ML algorithms as well as cutting-edge applications to medicine, such as cancer, precision medicine, critical care, personalized medicine, telemedicine, drug discovery, molecular characterization, and patient mental health. Research in medicine and tailored clinical treatment are being quickly transformed by artificial intelligence (AI) and machine learning (ML). The content in this book is tailored to the reader's needs in terms of both type and fundamentals. It covers the current ethical issues and potential developments in this field. This book will be beneficial for academics, professionals in the IT industry, educators, students, and anyone else involved in the use and development of AI in the medical field.
ISBN: 9780443136719Publication Date: 2024-03-18
Artificial Intelligence in Bioinformatics by
Artificial Intelligence in Bioinformatics: From Omics Analysis to Deep Learning and Network Mining reviews the main applications of the topic, from omics analysis to deep learning and network mining. The book includes a rigorous introduction on bioinformatics, also reviewing how methods are incorporated in tasks and processes. In addition, it presents methods and theory, including content for emergent fields such as Sentiment Analysis and Network Alignment. Other sections survey how Artificial Intelligence is exploited in bioinformatics applications, including sequence analysis, structure analysis, functional analysis, protein classification, omics analysis, biomarker discovery, integrative bioinformatics, protein interaction analysis, metabolic networks analysis, and much more.
ISBN: 9780128229521Publication Date: 2022-05-18
Artificial Intelligence in Healthcare and COVID-19 by
Artificial Intelligence in Healthcare and COVID-19 showcases theoretical concepts and implementational and research perspectives surrounding AI. The book addresses both medical and technological visions, making it even more applied. With the advent of COVID-19, it is obvious that leading universities and medical schools must include these topics and case studies in their usual courses of health informatics to keep up with the pace of technological and medical advancements. This book will also serve professors teaching courses and industry practitioners and professionals working in the R&D team of leading medical and informatics companies who want to embrace AI and eHealth to fight COVID-19. Since AI in healthcare is a comparatively new field, there exists a vacuum of literature in this field, especially when applied to COVID-19. With the area of AI in COVID-19 being quite young, students and researchers usually face a struggle to rely on the few published papers (which are obviously too specific) or whitepapers by tech-giants (which are too wide).
ISBN: 9780323905312Publication Date: 2023-05-24
Artificial Intelligence in Pharmaceutical Sciences by
This cutting-edge reference book discusses the intervention of artificial intelligence in the fields of drug development, modified drug delivery systems, pharmaceutical technology, and medical devices development. This comprehensive book includes an overview of artificial intelligence in pharmaceutical sciences and applications in the drug discovery and development process. It discusses the role of machine learning in the automated detection and sorting of pharmaceutical formulations. It covers nanosafety and the role of artificial intelligence in predicting potential adverse biological effects. FEATURES Includes lucid, step-by-step instructions to apply artificial intelligence and machine learning in pharmaceutical sciences Explores the application of artificial intelligence in nanosafety and prediction of potential hazards Covers application of artificial intelligence in drug discovery and drug development Reviews the role of artificial intelligence in assessment of pharmaceutical formulations Provides artificial intelligence solutions for experts in the pharmaceutical and medical devices industries This book is meant for academicians, students, and industry experts in pharmaceutical sciences, medicine, and pharmacology.
ISBN: 9781000994599Publication Date: 2023-11-23
Artificial Intelligence Technology in Healthcare: Security and Privacy Issues by
Artificial Intelligence Technology in Healthcare: Security and Privacy Issues focuses on current issues with patients' privacy and data security including data breaches in healthcare organizations, unauthorized access to patients' information, and medical identity theft. It explains recent breakthroughs and problems in deep learning security and privacy issues, emphasizing current state-of-the-art methods, methodologies, implementation, attacks, and countermeasures. It examines the issues related to developing artifiicial intelligence (AI)-based security mechanisms which can gather or share data across several healthcare applications securely and privately. Features: Combines multiple technologies (i.e., Internet of Things [IoT], Federated Computing, and AI) for managing and securing smart healthcare systems. Includes state-of-the-art machine learning, deep learning techniques for predictive analysis, and fog and edge computing-based real-time health monitoring. Covers how to diagnose critical diseases from medical imaging using advanced deep learning-based approaches. Focuses on latest research on privacy, security, and threat detection on COVID-19 through IoT. Illustrates initiatives for research in smart computing for advanced healthcare management systems. This book is aimed at researchers and graduate students in bioengineering, artificial intelligence, and computer engineering.
ISBN: 9781032428390Publication Date: 2024-09-01
Beyond Artificial Intelligence: From Human consciousness to Artificial Consciousness by
This book will present a complete modeling of the human psychic system that allows to generate the thoughts in a strictly organizational approach that mixes a rising and falling approach. The model will present the architecture of the psychic system that can generate sensations and thoughts, showing how one can feel thoughts. The model developed into an organizational architecture based on massive multiagent systems. The architecture will be fully developed, showing how an artificial system can be endowed with consciousness and intentionally generate thoughts and, especially, feel them. These results are multidisciplinary, combining both psychology and computer science disciplines.
ISBN: 9781786303592Publication Date: 2018-11-06
Computational Intelligence and Its Applications in Healthcare by
Computational Intelligence and Its Applications in Healthcare presents rapidly growing applications of computational intelligence for healthcare systems, including intelligent synthetic characters, man-machine interface, menu generators, user acceptance analysis, pictures archiving, and communication systems. Computational intelligence is the study of the design of intelligent agents, which are systems that act intelligently: they do what they think are appropriate for their circumstances and goals; they're flexible to changing environments and goals; they learn from experience; and they make appropriate choices given perceptual limitations and finite computation. Computational intelligence paradigms offer many advantages in maintaining and enhancing the field of healthcare.
ISBN: 9780128206041Publication Date: 2020-07-29
Computational Intelligence for Medical Internet of Things (MIoT) Applications by
Computational Intelligence for Medical Internet of Things (MIoT) Applications: Machine Intelligence Applications for IoT in Healthcare explores machine intelligence techniques necessary for effective MIoT research and practice, taking a practical approach for practitioners and students entering the field. This book investigates advanced concepts and applications in the MIoT field, guiding readers through emerging developments and future trends. A wide range of international authors guide readers through advanced concepts, including deep learning, neural network, and big data analytic approaches for the classification, indexing, retrieval, analysis, and inferencing of healthcare data.
ISBN: 9780323994217Publication Date: 2023-01-26
Data-Centric AI Solutions and Emerging Technologies in the Healthcare Ecosystem by
"Data-Centric AI Solutions and Emerging Technologies in the Healthcare Ecosystem focuses on the mechanisms of proposing and incorporating solutions along with architectural concepts, design principles, smart solutions, decision-making process, and intelligent predictions. It offers state-of-the-art approaches for overall innovations, developments, and implementation of the smart healthcare ecosystem and highlights medical signal and image processing algorithms, healthcare-based computer vision systems, and discusses explainable AI (XAI) techniques for healthcare"--
ISBN: 9781032410869Publication Date: 2023-08-01
Deep Learning in Personalized Healthcare and Decision Support by
Deep Learning in Personalized Healthcare and Decision Support discusses the potential of deep learning technologies in the healthcare sector. The book covers the application of deep learning tools and techniques in diverse areas of healthcare, such as medical image classification, telemedicine, clinical decision support system, clinical trials, electronic health records, precision medication, Parkinson disease detection, genomics, and drug discovery. In addition, it discusses the use of DL for fraud detection and internet of things. This is a valuable resource for researchers, graduate students and healthcare professionals who are interested in learning more about deep learning applied to the healthcare sector. Although there is an increasing interest by clinicians and healthcare workers, they still lack enough knowledge to efficiently choose and make use of technologies currently available. This book fills that knowledge gap by bringing together experts from technology and clinical fields to cover the topics in depth.
ISBN: 9780443194139Publication Date: 2023-07-21
eBooks
The Digital Reconstruction of Healthcare by
The complex challenges facing healthcare require innovative solutions that can make patient care more effective, easily available, and affordable. One such solution is the digital reconstruction of medicine that transitions much of patient care from hospitals, clinics, and offices to a variety of virtual settings. This reconstruction involves telemedicine, hospital-at-home services, mobile apps, remote sensing devices, clinical data analytics, and other cutting-edge technologies. The Digital Reconstruction of Healthcare: Transitioning from Brick and Mortar to Virtual Care takes a deep dive into these tools and how they can transform medicine to meet the unique needs of patients across the globe. This book enables readers to peer into the very near future and prepare them for the opportunities afforded by the digital shift in healthcare. It is also a wake-up call to readers who are less than enthusiastic about these digital tools and helps them to realize the cost of ignoring these tools. It is written for a wide range of medical professionals including: Physicians, nurses, and entrepreneurs who want to understand how to use or develop digital products and services IT managers who need to fold these tools into existing computer networks at hospitals, clinics, and medical offices Healthcare executives who decide how to invest in these platforms and products Insurers who need to stay current on the latest trends and the evidence to support their cost effectiveness Filled with insights from international experts, this book also features Dr. John Halamka's lessons learned from years of international consulting with government officials on digital health. It also taps into senior research analyst Paul Cerrato's expertise in AI, data analytics, and machine learning. Combining these lessons learned with an in-depth analysis of clinical informatics research, this book aims to separate hyped AI "solutions" from evidence-based digital tools. Together, these two pillars support the contention that these technologies can, in fact, help solve many of the seemingly intractable problems facing healthcare providers and patients.
ISBN: 9781032015132Publication Date: 2021-06-08
Emerging Practices in Telehealth by
Emerging Practices in Telehealth: Best Practices in a Rapidly Changing Field is an introduction to telehealth basics, best practices and implementation methods. The book guides the reader from start to finish through the workflow implementation of telehealth technology, including EMRs, clinical workflows, RPM, billing systems, and patient experience. It also explores how telehealth can increase healthcare access and decrease disparities across the globe. Practicing clinicians, medical fellows, allied healthcare professionals, hospital administrators, and hospital IT professionals will all benefit from this practical guidebook.
ISBN: 9780443159800Publication Date: 2023-02-22
Ethics of Medical AI by
This is the first book to provide a coherent overview over the ethical implications of AI-related technologies in medicine. It explores how these technologies transform practices, relationships, and environments in the clinical field. It provides an introduction into ethical issues such as data security and privacy protection, bias and algorithmic fairness, trust and transparency, challenges to the doctor-patient relationship, and new perspectives for informed consent. The book focuses on the transformative impact that technology is having on medicine, and discusses several strategies for dealing with the resulting challenges. It also introduces innovative methods of ethics research for addressing existing desiderata and future challenges. This book is written to inform health care professionals, policy-makers, and researchers in medicine, health sciences, nursing science, social sciences, and ethics, but may also function as a primary textbook for graduate as well as undergraduate university courses.
ISBN: 9783031557439Publication Date: 2024-03-21
Explainable Artificial Intelligence for Biomedical and Healthcare Applications by
This reference text helps us understand how the concepts of explainable artificial intelligence (XAI) are used in the medical and healthcare sectors. The text discusses medical robotic systems using XAI and physical devices having autonomous behaviors for medical operations. It explores the usage of XAI for analyzing different types of unique data sets for medical image analysis, medical image registration, medical data synthesis, and information discovery. It covers important topics including XAI for biometric security, genomics, and medical disease diagnosis. This book: * Provides an excellent foundation for the core concepts and principles of explainable AI in biomedical and healthcare applications. * Covers explainable AI for robotics and autonomous systems. * Discusses usage of explainable AI in medical image analysis, medical image registration, and medical data synthesis. * Examines biometrics security-assisted applications and their integration using explainable AI. The text will be useful for graduate students, professionals, and academic researchers in diverse areas such as electrical engineering, electronics and communication engineering, biomedical engineering, and computer science.
ISBN: 9781032114897Publication Date: 2024-10-09
Foundations of Artificial Intelligence in Healthcare and Bioscience by
Foundational Handbook of Artificial Intelligence in Healthcare and Bioscience: A User Friendly Guide for IT Professionals, Healthcare Providers, Researchers, and Clinicians uses color-coded illustrations to explain AI from its basics to modern technologies. Other sections cover extensive, current literature research and citations regarding AI's role in the business and clinical aspects of health care. The book provides readers with a unique opportunity to appreciate AI technology in practical terms, understand its applications, and realize its profound influence on the clinical and business aspects of health care. Artificial Intelligence is a disruptive technology that is having a profound and growing influence on the business of health care as well as medical diagnosis, treatment, research and clinical delivery. The AI relationships in health care are complex, but understandable, especially when discussed and developed from their foundational elements through to their practical applications in health care.
ISBN: 9780128244777Publication Date: 2020-11-26
A Glimpse at Medicine in the Future by
This book covers various aspects of the future of medicine, focusing on innovations in diagnostics, patient care, and drug discovery. With an increasing understanding of the structure and function of the human genome, along with continually improving laboratory and computational technologies, genomics has become progressively integrated into the core of biomedical research, medical practice, and the community. We are at the beginning of a fundamental shift in medicine, moving away from treating disease symptoms and toward curing diseases at their molecular causes. Artificial intelligence will aid in developing individually tailored therapies, gathering and exchanging big data, and advancing telemedicine to bring critical medical expertise to more patients worldwide. The future of medical artificial intelligence looks very promising, demonstrating that artificial intelligence can improve healthcare delivery. The twentieth century saw rapid advancements in disease prevention, including vaccine development and risk-factor prediction and intervention, nearly doubling global life expectancy. Healthcare has already entered the next phase of remarkable progress two decades into the twenty-first century. This book will be useful for health professionals interested in the future of medicine.
ISBN: 9789819749737Publication Date: 2024-11-11
Handbook of Security and Privacy of AI-Enabled Healthcare Systems and Internet of Medical Things by
"Handbook of Security and Privacy of AI-Enabled Healthcare Systems and the Internet of Medical Things provides new insights into the deployment, application, management, and benefits of AIoMT by examining real-world scenarios. It takes a critical look at existing security designs and offers solutions to revamp traditional security architecture, including the new design of efficient intrusion detection algorithms, attack prevention techniques, and both cryptographic and noncryptographic solutions. The handbook goes on to discuss the critical security and privacy issues which affect all parties in the healthcare ecosystem and provides practical AI-based solutions"--
ISBN: 9781032440798Publication Date: 2023-09-01
Hands-On Generative AI with Transformers and Diffusion Models by
Learn to use generative AI techniques to create novel text, images, audio, and even music with this practical, hands-on book. Readers will understand how state-of-the-art generative models work, how to fine-tune and adapt them to their needs, and how to combine existing building blocks to create new models and creative applications in different domains. This go-to book introduces theoretical concepts followed by guided practical applications, with extensive code samples and easy-to-understand illustrations. You'll learn how to use open source libraries to utilize transformers and diffusion models, conduct code exploration, and study several existing projects to help guide your work. Build and customize models that can generate text and images Explore trade-offs between using a pretrained model and fine-tuning your own model Create and utilize models that can generate, edit, and modify images in any style Customize transformers and diffusion models for multiple creative purposes Train models that can reflect your own unique style
ISBN: 9781098149246Publication Date: 2024-12-31
Human-Centered Artificial Intelligence by
Human-Centered Artificial Intelligence: Research and Applications presents current theories, fundamentals, techniques and diverse applications of human-centered AI. Sections address the question, "are AI models explainable, interpretable and understandable?, introduce readers to the design and development process, including mind perception and human interfaces, explore various applications of human-centered AI, including human-robot interaction, healthcare and decision-making, and more. As human-centered AI aims to push the boundaries of previously limited AI solutions to bridge the gap between machine and human, this book is an ideal update on the latest advances.
ISBN: 9780323856485Publication Date: 2022-05-18
Imagining AI: How the World Sees Intelligent Machines by
Chapters 16, 19 and 21 from this book are published open access and are free to read or download from Oxford Academic AI is now a global phenomenon. Yet Hollywood narratives dominate perceptions of AI in the English-speaking West and beyond, and much of the technology itself is shaped by a disproportionately white, male, US-based elite. However, different cultures have been imagining intelligent machines since long before we could build them, in visions that vary greatly across religious, philosophical, literary and cinematic traditions. This book aims to spotlight these alternative visions. Imagining AI draws attention to the range and variety of visions of a future with intelligent machines and their potential significance for the research, regulation, and implementation of AI. The book is structured geographically, with each chapter presenting insights into how a specific region or culture imagines intelligent machines. The contributors, leading experts from academia and the arts, explore how the encounters between local narratives, digital technologies, and mainstream Western narratives create new imaginaries and insights in different contexts across the globe. The narratives they analyse range from ancient philosophy to contemporary science fiction, and visual art to policy discourse. The book sheds new light on some of the most important themes in AI ethics, from the differences between Chinese and American visions of AI, to digital neo-colonialism. It is an essential work for anyone wishing to understand how different cultural contexts interplay with the most significant technology of our time.
ISBN: 9780192865366Publication Date: 2023-08-25
An Introduction to Healthcare Informatics by
An Introduction to Healthcare Informatics: Building Data-Driven Tools bridges the gap between the current healthcare IT landscape and cutting edge technologies in data science, cloud infrastructure, application development and even artificial intelligence. Information technology encompasses several rapidly evolving areas, however healthcare as a field suffers from a relatively archaic technology landscape and a lack of curriculum to effectively train its millions of practitioners in the skills they need to utilize data and related tools. The book discusses topics such as data access, data analysis, big data current landscape and application architecture. Additionally, it encompasses a discussion on the future developments in the field. This book provides physicians, nurses and health scientists with the concepts and skills necessary to work with analysts and IT professionals and even perform analysis and application architecture themselves.
ISBN: 9780128149157Publication Date: 2020-07-29
Live Like Nobody Is Watching: Relational Autonomy in the Age of Artificial Intelligence Health Monitoring by
Respect for patient autonomy and data privacy are generally accepted as foundational western bioethical values. Nonetheless, as our society embraces expanding forms of personal and health monitoring, particularly in the context of an aging population and the increasing prevalence of chronic diseases, questions abound about how artificial intelligence (AI) may change the way we define or understand what it means to live a free and healthy life. Who should have access to our health and recreational data and for what purpose? How can we find a balance between users' physical safety and their autonomy? Should we allow individuals to forgo continuous health monitoring, even if such monitoring may minimize injury risks and confer health and societal benefits? Would being continuously watched by connected devices ironically render patients more isolated and their data more exposed than ever? Drawing on different use cases of AI health monitoring, this book explores the socio-relational contexts that frame the promotion of AI health monitoring, as well as the potential consequences of such monitoring for people's autonomy. It argues that the evaluation, design, and implementation of AI health monitoring should be guided by a relational conception of autonomy, which addresses both people's capacity to exercise their agency and broader issues of power asymmetry and social justice. It explores how interpersonal and socio-systemic conditions shape the cultural meanings of personal responsibility, healthy living and aging, trust, and caregiving. These norms in turn structure the ethical space within which expectations regarding predictive analytics, risk tolerance, privacy, self-care, and trust relationships are expressed. Through an analysis of home health monitoring for older and disabled adults, direct-to-consumer health monitoring devices, and medication adherence monitoring, this book proposes ethical strategies at both the professional and systemic levels that can help preserve and promote people's relational autonomy in the digital era.
ISBN: 9780197556269Publication Date: 2023-05-02
Machine Learning, Deep Learning, Big Data, and Internet of Things for Healthcare by
This book reviews that narrate the development of current technologies under the theme of the emerging concept of healthcare, specifically in terms of what makes healthcare more efficient and effective with the help of high-precision algorithms. The mechanism that drives it is machine learning, deep learning, big data, and Internet of Things (IoT)-the scientific field that gives machines the ability to learn without being strictly programmed. It has emerged together with big data technologies and high-performance computing to create new opportunities to unravel, quantify, and understand data-intensive processes in healthcare operational environments. This book offers comprehensive coverage of the most essential topics, including: Introduction to e-monitoring for healthcare Case studies based on big data and healthcare Intelligent learning analytics in healthcare sectors using machine learning and IoT Identifying diseases and diagnosis using machine learning and IoT Deep learning architecture and framework for healthcare using IoT Knowledge discovery from big data of healthcare-related processing Big data and IoT in healthcare Role of IoT in sustainable healthcare A heterogeneous IoT-based application for remote monitoring of physiological and environmental parameters
ISBN: 9781032130828Publication Date: 2022-08-17
Medical and Healthcare Robotics by
Medical and Healthcare Robotics: New Paradigms and Recent Advances provides an overview and exclusive insights into current trends, the most recent innovations, and concerns in medical robotics. The book covers the major areas of medical robotics, including rehabilitation devices, artificial organs, assistive technologies, service robotics, and robotic devices for surgery, exploration, diagnosis, therapy, and training. It highlights the limitations and the importance of robotics and artificial intelligence for medical and healthcare applications. The book is a timely and comprehensive reference guide for undergraduate-level students, graduate students, and researchers in the fields of electrical engineering, mechanical engineering, mechatronics, control systems engineering, and biomedical engineering. It can be useful for master's programs, leading consultants, and industrial companies. The book can be of high interest for physicians and physiotherapists and all technical people in the medical and biomedical fields.
ISBN: 9780443184604Publication Date: 2023-08-01
Practical Data Analytics for Innovation in Medicine: Building Real Predictive and Prescriptive Models in Personalized Healthcare and Medical Research Using AI, ML, and Related Technologies, Second Edition by
Practical Data Analytics for Innovation in Medicine: Building Real Predictive and Prescriptive Models in Personalized Healthcare and Medical Research Using AI, ML, and Related Technologies, Second Edition discusses the needs of healthcare and medicine in the 21st century, explaining how data analytics play an important and revolutionary role. With healthcare effectiveness and economics facing growing challenges, there is a rapidly emerging movement to fortify medical treatment and administration by tapping the predictive power of big data, such as predictive analytics, which can bolster patient care, reduce costs, and deliver greater efficiencies across a wide range of operational functions. Sections bring a historical perspective, highlight the importance of using predictive analytics to help solve health crisis such as the COVID-19 pandemic, provide access to practical step-by-step tutorials and case studies online, and use exercises based on real-world examples of successful predictive and prescriptive tools and systems. The final part of the book focuses on specific technical operations related to quality, cost-effective medical and nursing care delivery and administration brought by practical predictive analytics.
ISBN: 9780323952743Publication Date: 2023-05-06
Revolutionizing Healthcare: AI Integration with IoT for Enhanced Patient Outcomes by
This book showcases an endeavor to delve into the fusion of artificial intelligence (AI) and the Internet of Things (IoT) within the healthcare domain. The healthcare sector is currently experiencing a shift fueled by technological advancements and a heightened focus on providing tailored, efficient and impactful care to individuals. AI and IoT have emerged as facilitators of this evolution presenting opportunities to elevate patient results streamline operations and enhance decision-making within healthcare environments. This publication unites an array of viewpoints from experts in healthcare, technology and research domains. Through an array of enlightening chapters readers will embark on a journey exploring the applications, hurdles and consequences of merging AI with IoT in healthcare contexts. From analytics and remote monitoring to treatment suggestions and operational enhancements the potentials offered by AI and IoT is both captivating and revolutionary. As editors overseeing this volume's creation we take pride in presenting an assemblage of contributions that mirror the research findings, innovations and optimal practices in healthcare technology. Our aim is to encourage readers to engage in thinking, creativity and teamwork when considering the impact of integrating AI with IoT on enhancing patient care and healthcare services.
ISBN: 9783031650215Publication Date: 2024-09-24
Sex and Gender Bias in Technology and Artificial Intelligence by
Sex and Gender Bias in Technology and Artificial Intelligence: Biomedicine and Healthcare Applications details the integration of sex and gender as critical factors in innovative technologies (artificial intelligence, digital medicine, natural language processing, robotics) for biomedicine and healthcare applications. By systematically reviewing existing scientific literature, a multidisciplinary group of international experts analyze diverse aspects of the complex relationship between sex and gender, health and technology, providing a perspective overview of the pressing need of an ethically-informed science. The reader is guided through the latest implementations and insights in technological areas of accelerated growth, putting forward the neglected and overlooked aspects of sex and gender in biomedical research and healthcare solutions that leverage artificial intelligence, biosensors, and personalized medicine approaches to predict and prevent disease outcomes. The reader comes away with a critical understanding of this fundamental issue for the sake of better future technologies and more effective clinical approaches.
ISBN: 9780128213926Publication Date: 2022-05-27
The Thinking Healthcare System: Artificial Intelligence and Human Equity by
The Thinking Healthcare System: Artificial Intelligence and Human Equity is the first comprehensive book detailing the historical, global, and technical trends shaping the evolution of the modern healthcare system into its final form--an AI-driven thinking healthcare system, structured and functioning as a global digital health ecosystem. Written by the world's first triple doctorate trained physician-data scientist and ethicist, and author of three AI textbooks and over 350 scientific and ethics papers, this indispensable resource makes sense of how technology, economics, and ethics are already producing the future's health system--and how to ensure it works for every patient, community, and culture in our globalized, digitalized, and divided world. Providing clear descriptions and concrete examples, this book brings together AI-accelerated digital health ecosystems, data architecture, cloud and edge computing, precision medicine, public health, telemedicine, patient safety, health political economics, multicultural global ethics, blockchain, and quantum health computing, among other topics. Healthcare and business executives, clinicians, researchers, government leaders, policymakers, and students in the fields of healthcare management, data science, medicine, public health, informatics, health and public policy, political economics, and bioethics will find this book to be a groundbreaking resource on how to create, nourish, and lead AI-driven health systems for the future that can think, adapt, and so care in a manner worthy of the world's patients.
ISBN: 9780443189067Publication Date: 2023-02-22
Transcultural Artificial Intelligence and Robotics in Health and Social Care by
Transcultural Artificial Intelligence and Robotics in Health and Social Care provides healthcare professionals with a deeper understanding of the incredible opportunities brought by the emerging field of AI robotics. In addition, it provides robotic researchers with the point-of-view of healthcare professionals to understand what the healthcare sector - as well as the market - really needs from robotics technology. By doing so, the book fills an important gap between both fields in order to leverage new developments and collaborative work in favor of global patients. The book is aimed at the non-technical reader, especially health and social care professionals, and explains in a simple way the technological principles applied in the development of socially assistive humanoid AI robots (SAHR), the values which guide such developments, the ethics related to them, and research approaches in the field, with a focus on achieving a culturally competent SAHR.
ISBN: 9780323904070Publication Date: 2022-04-25
Waiting for Robots by
An essential investigation that pulls back the curtain on automation, like AI, to show human workers' hidden labor. Artificial Intelligence fuels both enthusiasm and panic. Technologists are inclined to give their creations leeway, pretend they're animated beings, and consider them efficient. As users, we may complain when these technologies don't obey,or worry about their influence on our choices and our livelihoods. And yet, we also yearn for their convenience, see ourselves reflected in them, and treat them as something entirely new. But when we overestimate the automation of these tools, award-winning author Antonio A. Casilli argues, we fail to recognize how our fellow humans are essential to their efficiency. The danger is not that robots will take our jobs, but that humans will have to do theirs. In this bracing and powerful book, Casilli uses up-to-the-minute research to show how today's technologies, including AI, continue to exploit human labor--even ours. He connects the diverse activities of today's tech laborers: platform workers, like Uber drivers and Airbnb hosts; "micro workers," including those performing atomized tasks like data entry on Amazon Mechanical Turk; and the rest of us, as we evaluate text or images to show we're not robots, react to Facebook posts, or approve or improve the output of generative AI. As Casilli shows us, algorithms, search engines, and voice assistants wouldn't function without unpaid or underpaid human contributions. Further, he warns that if we fail to recognize this human work, we risk a dark future for all human labor. Waiting for Robots urges us to move beyond the simplistic notion that machines are intelligent and autonomous. As the proverbial Godot, robots are the bearers of a messianic promise that is always postponed. Instead of bringing prosperity for all, they discipline the workforce, so we don't dream of a world without drudgery and exploitation. Casilli's eye-opening book makes clear that most "automation" requires human labor--and likely always will--shedding new light on today's consequences and tomorrow's threats of failing to recognize and compensate the "click workers" of today.
ISBN: 9780226837079Publication Date: 2025-01-08
