This collection of essays emphasizes society’s increasingly responsible engagement with ethical challenges in emerging medical technology. Expansion of technological capacity and attention to patient safety have long been integral to improving healthcare delivery but only relatively recently have concepts like respect, distributive justice, privacy, and autonomy gained some power to shape the development, use, and refinement of medical tools and techniques. Medical ethics goes beyond making better medicine to thinking about how to make the field of medicine better. These essays showcase several ways in which modern ethical thinking is improving safety, efficacy and efficiency of medical technology, increasing access to medical care, and empowering patients to choose care that comports with their desires and beliefs. Included are complimentary ethical approaches as well as compelling counter-arguments. Together, the articles demonstrate how improving the quality of medical technology relies on every stakeholder -- not just medical researchers and scientists -- to assess each given technology’s strengths and pitfalls. This collection also portends one of the next major issues in the ethics of medical technology: developing the requisite moral framework to accompany shifts toward patient-centred personalized healthcare.

As advances in disruptive technologies transform politics and increase the velocity of information and policy flows worldwide, the public is being confronted with changes that move faster than they can comprehend. There is an urgent need to analyze and communicate the ethical issues of these advancements. In a perpetually updating digital world, data is becoming the dominant basis for reality. This new world demands a new approach because traditional methods are not fit for a non-physical space like the internet. Applied Ethics in a Digital World provides an analysis of the ethical questions raised by modern science, technological advancements, and the fourth industrial revolution and explores how to harness the speed, accuracy, and power of emerging technologies in policy research and public engagement to help leaders, policymakers, and the public understand the impact that these technologies will have on economies, legal and political systems, and the way of life. Covering topics such as artificial intelligence (AI) ethics, digital equity, and translational ethics, this book is a dynamic resource for policymakers, civil society, CEOs, ethicists, technologists, security advisors, sociologists, cyber behavior specialists, criminologists, data scientists, global governments, students, researchers, professors, academicians, and professionals.

This thought-provoking study examines the ethical, legal, and social problems that arise with cutting-edge medical technology. Using as examples four powerful and largely unregulated technologies—off-label use of drugs, innovative surgery, assisted reproduction, and neuroimaging—Margaret L. Eaton and Donald Kennedy illustrate the difficult challenges faced by clinicians, researchers, and policy makers who seek to advance the frontiers of medicine safely and responsibly. Supported by medical history and case studies and drawing on reports from dozens of experts, the authors address important practical, ethical, and policy issues. They consider topics such as the responsible introduction of new medical products and services, the importance of patient consent, the extent of the duty to mitigate harm, and the responsibility to facilitate access to new medical therapies. This work's insights into the nature and consequences of medical innovation contribute to the national debate on how best to protect patients while fostering innovation and securing benefits.

First and only undergraduate textbook that addresses the social and ethical issues associated with a wide array of emerging technologies, including genetic modification, human enhancement, geoengineering, robotics, virtual reality, artificial meat, neurotechnologies, information technologies, nanotechnology, sex selection, and more.

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

With rapid advancements in human enhancement technologies, society struggles with many issues, such as definition, effects, participation, regulation, and control. Current and future initiatives in these technologies may not be in the participants’ best interests; therefore, it is imperative for research on humanitarian considerations to be available to those affiliated with this field. Global Issues and Ethical Considerations in Human Enhancement Technologies compiles prestigious research and provides a well-rounded composite of the field’s role in emerging technologies. Addressing both present and future concerns, this publication serves as a valuable reference work for researchers, students, professionals, and practitioners involved in computer science and the humanities, as well as many engaged in a humanities approach to metasystems, new artificial life, and robotics.

This book presents cutting edge research on the new ethical challenges posed by biomedical Big Data technologies and practices. ‘Biomedical Big Data’ refers to the analysis of aggregated, very large datasets to improve medical knowledge and clinical care. The book describes the ethical problems posed by aggregation of biomedical datasets and re-use/re-purposing of data, in areas such as privacy, consent, professionalism, power relationships, and ethical governance of Big Data platforms. Approaches and methods are discussed that can be used to address these problems to achieve the appropriate balance between the social goods of biomedical Big Data research and the safety and privacy of individuals. Seventeen original contributions analyse the ethical, social and related policy implications of the analysis and curation of biomedical Big Data, written by leading experts in the areas of biomedical research, medical and technology ethics, privacy, governance and data protection. The book advances our understanding of the ethical conundrums posed by biomedical Big Data, and shows how practitioners and policy-makers can address these issues going forward.