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Book Exploring    The Current Applications  Advantages   Disadvantages  Ethical Concerns   The Future Hold Of AI in Healthcare

Download or read book Exploring The Current Applications Advantages Disadvantages Ethical Concerns The Future Hold Of AI in Healthcare written by Dr. Hakim .K.Saboowala. and published by Dr.Hakim Saboowala. This book was released on 2023-10-25 with total page 79 pages. Available in PDF, EPUB and Kindle. Book excerpt: Exploring “The Current Applications, Advantages & Disadvantages, Ethical Concerns & The Future Hold Of AI in Healthcare.” The healthcare industry is advancing ahead swiftly. For many healthcare organizations, being able to forecast which treatment techniques are likely to be successful with patients based on their makeup and treatment framework is a big step forward. Artificial intelligence has the potential to help healthcare providers in a variety of ways, including patient care and administrative tasks. The technology aims to mimic human cognitive functions, as it offers numerous advantages over traditional analytics and other clinical decision-making tools. Data becomes more precise and accurate, allowing the healthcare industry to have more insights into the processes and patient outcomes. Tus, an effort has been made in this E-Booklet to compile an overview of the use of artificial intelligence in radiology, cardiology, ophthalmology, and drug discovery process along with several relevant Illustrations for better understanding. …Dr. H. K. Saboowala. M.B.(Bom) .M.R.S.H.(London)

Book Artificial Intelligence in Healthcare

Download or read book Artificial Intelligence in Healthcare written by Adam Bohr and published by Academic Press. This book was released on 2020-06-21 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. Highlights different data techniques in healthcare data analysis, including machine learning and data mining Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks Includes applications and case studies across all areas of AI in healthcare data

Book Artificial Intelligence and Ethics

Download or read book Artificial Intelligence and Ethics written by Rakesh Chittineni and published by Independently Published. This book was released on 2024-07-13 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Embark on a journey into the ethical frontier of Artificial Intelligence (AI) with this insightful exploration. From its rapid evolution to its profound impact across industries, discover how AI is shaping our world-and the ethical considerations that accompany its advancement. Key Themes Explored: Understanding AI: Dive into the fundamentals of AI, from its definition and types to its revolutionary applications in healthcare, finance, and beyond. Explore the potential future innovations that AI promises to bring. Ethical Challenges: Uncover the ethical complexities that AI introduces, including biases in algorithms, concerns over privacy and surveillance, and the imperative for accountability and transparency in AI decision-making. Sector-Specific Insights: Explore AI's ethical implications in pivotal sectors such as healthcare, where AI holds promise for diagnosis and treatment but raises questions about data privacy and human oversight. Autonomous Vehicles and Employment: Delve into the ethical dilemmas posed by autonomous vehicles, from safety concerns and liability issues to their potential impact on employment and the need for fair transition strategies. Governance and Regulation: Understand why robust governance and international cooperation are crucial for navigating AI's ethical landscape. Explore current regulatory frameworks and future directions for ethical AI development. Conclusion: Chart a path forward in fostering responsible AI development that prioritizes human well-being and societal benefit. Engage in ongoing dialogue and collaboration among stakeholders to shape a future where AI serves as a force for positive change. Appendix: Access further reading, resources, and a glossary of key terms to deepen your understanding of AI's ethical dimensions. This book invites readers to explore the ethical dimensions of AI, offering insights and solutions to navigate its transformative impact responsibly. Perfect for those intrigued by technology's ethical frontier, this ebook is your guide to understanding and shaping the future of AI in society.

Book The Current and Future Role of Artificial Intelligence in Medicine

Download or read book The Current and Future Role of Artificial Intelligence in Medicine written by Nadia Namous and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) is rapidly advancing and is poised to transform healthcare. This thesis explores the current and future role of AI in medicine, radiology, and mammography, as well as the bioethical considerations surrounding its use. The introduction provides an overview of AI and its applications in medicine, followed by a discussion of how AI is being used in clinical care including its potential for improving patient outcomes and reducing healthcare costs. The thesis then delves into AI in radiology, specifically its use in image interpretation, diagnosis, triaging, and treatment planning. The role of AI in mammography is also explored, focusing on its potential for improving the accuracy of breast cancer detection and diagnosis, as well as the aspect of patient communication and education. The future of AI in healthcare is also discussed including potential challenges such as the need for high quality unbiased data and the ethical considerations surrounding AI's use. The bioethical considerations surrounding AI in healthcare are explored including issues related to privacy, autonomy, and bias. Finally, the thesis concludes with a discussion of what can be expected from the future of AI in medicine and the implications for healthcare professionals, patients, and society. In summary, this thesis provides a comprehensive overview of the current and future role of AI in medicine, radiology, mammography, and patient care while highlighting the importance of addressing bioethical considerations as this technology continues to evolve and make its way into our lives.

Book Powering the Digital Economy  Opportunities and Risks of Artificial Intelligence in Finance

Download or read book Powering the Digital Economy Opportunities and Risks of Artificial Intelligence in Finance written by El Bachir Boukherouaa and published by International Monetary Fund. This book was released on 2021-10-22 with total page 35 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.

Book Artificial Intelligence for a Better Future

Download or read book Artificial Intelligence for a Better Future written by Bernd Carsten Stahl and published by Springer Nature. This book was released on 2021-03-17 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book proposes a novel approach to Artificial Intelligence (AI) ethics. AI offers many advantages: better and faster medical diagnoses, improved business processes and efficiency, and the automation of boring work. But undesirable and ethically problematic consequences are possible too: biases and discrimination, breaches of privacy and security, and societal distortions such as unemployment, economic exploitation and weakened democratic processes. There is even a prospect, ultimately, of super-intelligent machines replacing humans. The key question, then, is: how can we benefit from AI while addressing its ethical problems? This book presents an innovative answer to the question by presenting a different perspective on AI and its ethical consequences. Instead of looking at individual AI techniques, applications or ethical issues, we can understand AI as a system of ecosystems, consisting of numerous interdependent technologies, applications and stakeholders. Developing this idea, the book explores how AI ecosystems can be shaped to foster human flourishing. Drawing on rich empirical insights and detailed conceptual analysis, it suggests practical measures to ensure that AI is used to make the world a better place.

Book Artificial Intelligence

Download or read book Artificial Intelligence written by Sandeep Reddy and published by CRC Press. This book was released on 2020-12-02 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: The rediscovery of the potential of artificial intelligence (AI) to improve healthcare delivery and patient outcomes has led to an increasing application of AI techniques such as deep learning, computer vision, natural language processing, and robotics in the healthcare domain. Many governments and health authorities have prioritized the application of AI in the delivery of healthcare. Also, technological giants and leading universities have established teams dedicated to the application of AI in medicine. These trends will mean an expanded role for AI in the provision of healthcare. Yet, there is an incomplete understanding of what AI is and its potential for use in healthcare. This book discusses the different types of AI applicable to healthcare and their application in medicine, population health, genomics, healthcare administration, and delivery. Readers, especially healthcare professionals and managers, will find the book useful to understand the different types of AI and how they are relevant to healthcare delivery. The book provides examples of AI being applied in medicine, population health, genomics, healthcare administration, and delivery and how they can commence applying AI in their health services. Researchers and technology professionals will also find the book useful to note current trends in the application of AI in healthcare and initiate their own projects to enable the application of AI in healthcare/medical domains.

Book Artificial Intelligence in Medicine

Download or read book Artificial Intelligence in Medicine written by David Riaño and published by Springer. This book was released on 2019-06-19 with total page 431 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 17th Conference on Artificial Intelligence in Medicine, AIME 2019, held in Poznan, Poland, in June 2019. The 22 revised full and 31 short papers presented were carefully reviewed and selected from 134 submissions. The papers are organized in the following topical sections: deep learning; simulation; knowledge representation; probabilistic models; behavior monitoring; clustering, natural language processing, and decision support; feature selection; image processing; general machine learning; and unsupervised learning.

Book An Examination of Emerging Bioethical Issues in Biomedical Research

Download or read book An Examination of Emerging Bioethical Issues in Biomedical Research written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2020-09-10 with total page 133 pages. Available in PDF, EPUB and Kindle. Book excerpt: On February 26, 2020, the Board on Health Sciences Policy of the National Academies of Sciences, Engineering, and Medicine hosted a 1-day public workshop in Washington, DC, to examine current and emerging bioethical issues that might arise in the context of biomedical research and to consider research topics in bioethics that could benefit from further attention. The scope of bioethical issues in research is broad, but this workshop focused on issues related to the development and use of digital technologies, artificial intelligence, and machine learning in research and clinical practice; issues emerging as nontraditional approaches to health research become more widespread; the role of bioethics in addressing racial and structural inequalities in health; and enhancing the capacity and diversity of the bioethics workforce. This publication summarizes the presentations and discussions from the workshop.

Book Artificial Intelligence in Healthcare  Advantages and Disadvantages

Download or read book Artificial Intelligence in Healthcare Advantages and Disadvantages written by Mr. Gunawan Widjaja and published by Xoffencerpublication. This book was released on 2023-07-17 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: The extensive adoption of artificial intelligence (AI) that is presently taking place in the medical industry is expected to have a significant positive impact on many facets of patient care, diagnostics, therapies, and healthcare management. The Most Important Applications of Artificial Intelligence in Healthcare X-rays, magnetic resonance imaging (MRI), and computed tomography (CT) scans are only some examples of the several kinds of medical images that can be examined by artificial intelligence algorithms to assist radiologists in making diagnosis. Deep learning techniques enable artificial intelligence systems to discover patterns and irregularities with a high degree of accuracy, which can help in the early detection of diseases like cancer as well as improve the efficiency of visual interpretation. By analyzing patient records, data, and symptoms, AI can assist medical professionals in making accurate diagnoses. Using machine learning algorithms, intricate relationships hidden within massive datasets can be unearthed, making it possible to arrive at more accurate diagnoses. AI-powered decision support systems can help practitioners with therapy suggestions by using the most recent findings from medical research as well as data particular to the individual patient. The medication development process can be sped up with the assistance of AI by sorting through mountains of data derived from many sources such as biological databases, scientific articles, and the results of clinical trials. By utilizing machine learning models to predict the efficacy and side effects of potential drug candidates, the amount of time and money needed to develop novel medicines can be cut in half. This is a significant improvement. Patients can benefit from chatbots and virtual assistants powered by AI in a number of ways, including receiving individualized health information, having their questions answered, and receiving recommendations for the next steps to take. These kinds of tools can assist medical professionals in prioritizing patients in accordance with their symptoms, recommending self-care practices, and scheduling appointments.

Book Sustainable Development Using Private AI

Download or read book Sustainable Development Using Private AI written by Uma Maheswari V and published by CRC Press. This book was released on 2024-08-27 with total page 319 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the fundamental concepts of private AI and its applications. It also covers fusion of Private AI with cutting-edge technologies like cloud computing, federated learning and computer vision. Security Models and Applications for Sustainable Development Using Private AI reviews various encryption algorithms used for providing security in private AI. It discusses the role of training machine learning and Deep learning technologies in private AI. The book provides case studies of using private AI in various application areas such as purchasing, education, entertainment, medical diagnosis, predictive care, conversational personal assistants, wellness apps, early disease detection, and recommendation systems. The authors provide additional knowledge to handling the customer’s data securely and efficiently. It also provides multi-model dataset storage approaches along with the traditional approaches like anonymization of data and differential privacy mechanisms. The target audience includes undergraduate and postgraduate students in Computer Science, Information technology, Electronics and Communication Engineering and related disciplines. This book is also a one stop reference point for professionals, security researchers, scholars, various government agencies and security practitioners, and experts working in the cybersecurity Industry specifically in the R & D division.

Book Exploring the Ethical Implications of Generative AI

Download or read book Exploring the Ethical Implications of Generative AI written by Ara, Aftab and published by IGI Global. This book was released on 2024-04-04 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: Generative Artificial Intelligence (AI), an ever-evolving technology, holds immense promise across various industries, from healthcare to content generation. However, its rapid advancement has also given rise to profound ethical concerns. Illicit black-market industries exploit generative AI for counterfeit imagery, and in educational settings, biases and misinformation perpetuate. These issues underscore the need to grapple with the risks accompanying generative AI integration. Exploring the Ethical Implications of Generative AI emerges as a wellspring of insight for discerning academic scholars. It sets the stage by acknowledging generative AI's multifaceted potential and its capacity to reshape industries. The book addresses these complex ethical concerns, offering a comprehensive analysis and providing a roadmap for responsible AI development and usage. Its intended audience spans business leaders, policymakers, scholars, and individuals passionate about the ethical dimensions of AI.

Book Artificial Intelligence in Behavioral and Mental Health Care

Download or read book Artificial Intelligence in Behavioral and Mental Health Care written by David D. Luxton and published by Academic Press. This book was released on 2015-09-10 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence in Behavioral and Mental Health Care summarizes recent advances in artificial intelligence as it applies to mental health clinical practice. Each chapter provides a technical description of the advance, review of application in clinical practice, and empirical data on clinical efficacy. In addition, each chapter includes a discussion of practical issues in clinical settings, ethical considerations, and limitations of use. The book encompasses AI based advances in decision-making, in assessment and treatment, in providing education to clients, robot assisted task completion, and the use of AI for research and data gathering. This book will be of use to mental health practitioners interested in learning about, or incorporating AI advances into their practice and for researchers interested in a comprehensive review of these advances in one source. Summarizes AI advances for use in mental health practice Includes advances in AI based decision-making and consultation Describes AI applications for assessment and treatment Details AI advances in robots for clinical settings Provides empirical data on clinical efficacy Explores practical issues of use in clinical settings

Book Machine Learning

Download or read book Machine Learning written by and published by . This book was released on 2017 with total page 125 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Digital Health Transformation with Blockchain and Artificial Intelligence

Download or read book Digital Health Transformation with Blockchain and Artificial Intelligence written by Chinmay Chakraborty and published by CRC Press. This book was released on 2022-05-10 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book Digital Health Transformation with Blockchain and Artificial Intelligence covers the global digital revolution in the field of healthcare sector. The population has been overcoming the COVID-19 period; therefore, we need to establish intelligent digital healthcare systems using various emerging technologies like Blockchain and Artificial Intelligence. Internet of Medical Things is the technological revolution that has included the element of "smartness" in the healthcare industry and also identifying, monitoring, and informing service providers about the patient’s clinical information with faster delivery of care services. This book highlights the important issues i.e. (a) How Internet of things can be integrated with the healthcare ecosystem for better diagnostics, monitoring, and treatment of the patients, (b) Artificial Intelligence for predictive and preventive healthcare systems, (c) Blockchain for managing healthcare data to provide transparency, security, and distributed storage, and (d) Effective remote diagnostics and telemedicine approach for developing smart care. The book encompasses chapters belong to the blockchain, Artificial Intelligence, and Big health data technologies. Features: Blockchain and internet of things in healthcare systems Secure Digital Health Data Management in Internet of Things Public Perception towards AI-Driven Healthcare Security, privacy issues and challenges in adoption of smart digital healthcare Big data analytics and Internet of things in the pandemic era Clinical challenges for digital health revolution Artificial intelligence for advanced healthcare Future Trajectory of Healthcare with Artificial Intelligence 9 Parkinson disease pre-diagnosis using smart technologies Emerging technologies to combat the COVID-19 Machine Learning and Internet of Things in Digital Health Transformation Effective Remote Healthcare and Telemedicine Approaches Legal implication of blockchain technology in public health This Book on "Digital Health Transformation with Blockchain and Artificial Intelligence" aims at promoting and facilitating exchanges of research knowledge and findings across different disciplines on the design and investigation of secured healthcare data analytics. It can also be used as a textbook for a Masters course in security and biomedical engineering. This book will also present new methods for the medical data analytics, blockchain technology, and diagnosis of different diseases to improve the quality of life in general, and better integration into digital healthcare.

Book Multidisciplinary Applications of Extended Reality for Human Experience

Download or read book Multidisciplinary Applications of Extended Reality for Human Experience written by Kajla, Tanveer and published by IGI Global. This book was released on 2024-08-01 with total page 513 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today's rapidly evolving digital landscape, extended reality (XR) technologies have emerged as transformative tools that blur the boundaries between the physical and digital worlds. However, with this innovation comes a host of complex challenges. From ethical considerations in virtual reality research to legal and regulatory hurdles in extended reality, navigating this dynamic terrain requires a deep understanding of technology and human behavior. The lack of comprehensive resources that bridge these disciplines poses a significant barrier to those seeking to harness the full potential of immersive technologies. Multidisciplinary Applications of Extended Reality for Human Experience addresses this critical gap by offering a multidisciplinary exploration of XR's impact on society. Through expert contributions from diverse fields, including psychology, sociology, design, and culture, this book provides a comprehensive understanding of how XR technologies are reshaping human perceptions and interactions. It serves as a foundational text for academics, researchers, and industry professionals seeking to navigate the complexities of immersive technologies and their profound implications for human life.

Book Shaping the Future of Automation With Cloud Enhanced Robotics

Download or read book Shaping the Future of Automation With Cloud Enhanced Robotics written by Gatti, Rathishchandra Ramachandra and published by IGI Global. This book was released on 2024-04-26 with total page 457 pages. Available in PDF, EPUB and Kindle. Book excerpt: In a world where automation is quickly becoming a standard, a significant challenge arises – the need for robots to overcome their inherent limitations in processing power and storage. This bottleneck restricts their potential for innovation and collaboration, hindering the realization of true autonomous capabilities. The burgeoning field of Cloud Robotics promises a revolutionary solution by seamlessly integrating robots with cloud-based technologies. This integration empowers robots to offload computation tasks, tap into vast data resources, and engage in real-time collaboration with their mechanical counterparts. Existing literature often falls short of providing a holistic understanding of the complex interplay between robotics and cloud computing. Researchers, academics, and industry professionals find themselves grappling with fragmented insights, hindering their ability to harness the full potential of cloud-enhanced robotics. The lack of a centralized resource leaves a void, impeding progress and innovation in this groundbreaking field. Without a roadmap to navigate the challenges and opportunities presented by cloud robotics, stakeholders risk being left behind in an era where interdisciplinary collaboration is paramount. Enter Shaping the Future of Automation With Cloud-Enhanced Robotics, a beacon of knowledge designed specifically for academics, researchers, and industry professionals seeking to unlock the transformative power of cloud robotics. From fundamental principles to advanced applications, each chapter meticulously unravels the intricacies of cloud infrastructure, communication protocols, data management, human-robot interaction, and more. By addressing challenges and proposing solutions, this book not only disseminates recent advancements but also equips readers with actionable insights. Real-world examples and case studies illuminate the practical applications and benefits of cloud-enhanced robotics, making it an indispensable guide for professionals aiming to implement these innovations in their operations.