AI: Artificial Intelligence: AI and Health Books

FOREWORD BY BRAD SMITH, VICE CHAIR AND PRESIDENT OF MICROSOFT Discover how AI leaders and researchers are using AI to transform the world for the better In AI for Good: Applications in Sustainability, Humanitarian Action, and Health, a team of veteran Microsoft AI researchers delivers an insightful and fascinating discussion of how one of the world's most recognizable software companies is tackling intractable social problems with the power of artificial intelligence (AI). In the book, you'll see real in-the-field examples of researchers using AI with replicable methods and reusable AI code to inspire your own uses. The authors also provide: Easy-to-follow, non-technical explanations of what AI is and how it works Examples of the use of AI for scientists working on mitigating climate change, showing how AI can better analyze data without human bias, remedy pattern recognition deficits, and make use of satellite and other data on a scale never seen before so policy makers can make informed decisions Real applications of AI in humanitarian action, whether in speeding disaster relief with more accurate data for first responders or in helping address populations that have experienced adversity with examples of how analytics is being used to promote inclusivity A deep focus on AI in healthcare where it is improving provider productivity and patient experience, reducing per-capita healthcare costs, and increasing care access, equity, and outcomes Discussions of the future of AI in the realm of social benefit organizations and efforts Beyond the work of the authors, contributors, and researchers highlighted in the book, AI For Good begins with a foreword from Microsoft Vice Chair and President Brad Smith. There, Smith details the Microsoft rationale behind the creation of and continued investment in the AI for Good Lab. The vision is one of hope with AI saving lives in disasters, improving health care globally, and Microsoft's mission to make sure AI's benefits are available to all. An essential guide to impactful social change with artificial intelligence, AI for Good is a must-read resource for technical and non-technical professionals interested in AI's social potential, as well as policymakers, regulators, NGO professionals, and non-profit volunteers.

Omnigraphics' Health Reference Series is designed for the general reader seeking guidance an haw to avoid serious illness by following preventive lifestyles and recognizing early warning signs. It also supports the layperson who has received a diagnosis of a serious disease or disorder as well as the family member or nonprofessional caregiver who must learn to care and to cope with the illness. Each volume in the series deals comprehensively with a particular area of medical concern and contains material found in publications issued by the National Institutes of Health and other agencies and associations. Nowhere else can general readers find this information conveniently collected, coordinated, and indexed in book form. Health Technology Sourcebook, Third Edition Technology has revolutionized the way health care is delivered today, from preventive medicine to rehabilitation. The digitization of health records allows health-care professionals to provide better patient care with enhanced precision. It has increased the quality of life for patients suffering from terminal illnesses. The use of technology-enabled devices helps people track their health status an a day-to-day basis and allows health-care professionals to monitor patient health efficiently. It enables patients to make informed health choices and improves overall well-being. Health Technology Sourcebook, Third Edition provides information on digital health, telehealth, artificial intelligence and its application in health care, health information technology, innovations in preventive medicine, big data in predictive analysis, screening and detection technologies, and wireless patient monitoring services. It further discusses various treatment technologies in cancer, precision medicine, robotics, and various rehabilitation and assistive devices in health care. En addition, it provides insight into the future of health technology and its ethical and legal limitations. The book concludes with a glossary of related terms and a directory of resources for additional information.

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.

In "Transforming Healthcare: The AI Revolution in Medical Diagnosis and Treatment," delve into the cutting-edge realm where artificial intelligence and medicine intersect to reshape the very foundations of healthcare. This enlightening book takes readers on an immersive journey through the dynamic landscape of medical advancements fueled by AI, uncovering a future where diagnosis and treatment have reached unparalleled levels of precision and innovation.

In the era of 'Algorithmic Medicine', the integration of Artificial Intelligence (AI) in healthcare holds immense potential to address critical challenges faced by the industry. Drawing upon the expertise and experience of the authors in medicine, data science, medical informatics, administration, and entrepreneurship, this textbook goes beyond theoretical discussions to outline practical steps for transitioning AI from the experimental phase to real-time clinical integration. Using the Translational Science methodology, each chapter of the book concisely and clearly addresses the key issues associated with AI implementation in healthcare. Covering technical, clinical, ethical, regulatory, and legal considerations, the authors present evidence-based solutions and frameworks to overcome these challenges. Engaging case studies and a literature review of peer-reviewed studies and official documents from reputed organizations provide a balanced perspective, bridging the gap between AI research and actual clinical practice.

New technologies are transforming healthcare work and changing how patients interact with healthcare providers. As artificial intelligence systems, robotics, and data analytics become more sophisticated, some clinical tasks will become obsolete and others will be reconfigured. While it is not possible to predict these developments precisely, it is important to understand their inevitability and to prepare for the changes that lie ahead. Without Compassion, There Is No Healthcare argues that compassion must be upheld as the bedrock and guiding purpose of healthcare work. Emerging technologies have the potential to subvert this purpose but also to enable and expand it, creating new conduits for compassionate care. Cultivating these benefits and guarding against potential threats will require vigilance and determination from healthcare providers, educators, leaders, patients, and advocates. The contributors to this book show the way forward, bringing a diverse range of expertise to confront these challenges. Avoiding platitudes and simple dichotomies, they examine what compassion in healthcare means and how it can be practised, now and in the uncertain future. Without Compassion, There Is No Healthcare is a call to action. Drawing together a decade of evidence and insight generated by a community of leading scholars and practitioners committed to promoting compassionate care, it offers steady principles and practices to steer the way through times of technological change.