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Fuster and Hurst's The Heart, 15th Edition
The landmark text that belongs in the hands of every cardiologist―fully updated and reorganized to make it more patient-centric than ever A Doody's Core Title for 2023! World-famous for its authority and clinical relevance, Fuster and Hurst’s The Heart is cardiology’s longest continuously published reference book. Written to meet the ever-changing needs of cardiologists, fellows, and interns, this trusted classic offers a solid foundation in cardiovascular medicine and complete coverage of all major cardiovascular topics. This fifteenth edition presents a greater focus on the practicalities of patient care. Additionally, the content is ordered in a more methodical pattern, from mechani...
Digital Twin for Healthcare
Digital Twins for Healthcare: Design, Challenges and Solutions establishes the state-of-art in the specification, design, creation, deployment and exploitation of digital twins' technologies for healthcare and wellbeing. A digital twin is a digital replication of a living or non-living physical entity. When data is transmitted seamlessly, it bridges the physical and virtual worlds, thus allowing the virtual entity to exist simultaneously with the physical entity. A digital twin facilitates the means to understand, monitor, and optimize the functions of the physical entity and provide continuous feedback. It can be used to improve citizens' quality of life and wellbeing in smart cities and the virtualization of industrial processes. Presents the fundamentals of digital twin technology in healthcare Facilitates new approaches for healthcare industry Explores different use cases of digital twins in healthcare
Concepts of Artificial Intelligence and its Application in Modern Healthcare Systems
This reference text presents the usage of artificial intelligence in healthcare and discusses the challenges and solutions of using advanced techniques like wearable technologies and image processing in the sector. Features: Focuses on the use of artificial intelligence (AI) in healthcare with issues, applications, and prospects Presents the application of artificial intelligence in medical imaging, fractionalization of early lung tumour detection using a low intricacy approach, etc Discusses an artificial intelligence perspective on wearable technology Analyses cardiac dynamics and assessment of arrhythmia by classifying heartbeat using electrocardiogram (ECG) Elaborates machine learning models for early diagnosis of depressive mental affliction This book serves as a reference for students and researchers analyzing healthcare data. It can also be used by graduate and post graduate students as an elective course.
AHA Scientific Sessions 2016: Program Information
The American Heart Association’s Scientific Sessions 2016 is bringing big science, big technology, and big networking opportunities to New Orleans, Louisiana this November. This event features five days of the best in science and cardiovascular clinical practice covering all aspects of basic, clinical, population and translational content.
Broken Hearts
A history illustrating the complexity of medical decision making and risk. Still the leading cause of death worldwide, heart disease challenges researchers, clinicians, and patients alike. Each day, thousands of patients and their doctors make decisions about coronary angioplasty and bypass surgery. In Broken Hearts David S. Jones sheds light on the nature and quality of those decisions. He describes the debates over what causes heart attacks and the efforts to understand such unforeseen complications of cardiac surgery as depression, mental fog, and stroke. Why do doctors and patients overestimate the effectiveness and underestimate the dangers of medical interventions, especially when doing so may lead to the overuse of medical therapies? To answer this question, Jones explores the history of cardiology and cardiac surgery in the United States and probes the ambiguities and inconsistencies in medical decision making. Based on extensive reviews of medical literature and archives, this historical perspective on medical decision making and risk highlights personal, professional, and community outcomes.
Artificial Intelligence and Healthcare
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.
The Ethical Governance of Artificial Intelligence and Machine Learning in Healthcare
This book explores the ethical governance of Artificial Intelligence (AI) & Machine Learning (ML) in healthcare. AI/ML usage in healthcare as well as our daily lives is not new. However, the direct, and oftentimes long-term effects of current technologies, in addition to the onset of future innovations, have caused much debate about the safety of AI/ML. On the one hand, AI/ML has the potential to provide effective and efficient care to patients, and this sways the argument in favor of continuing to use AI/ML; but on the other hand, the dangers (including unforeseen future consequences of the further development of the technology) leads to vehement disagreement with further AI/ML usage. Due to its potential for beneficial outcomes, the book opts to push for ethical AI/ML to be developed and examines various areas in healthcare, such as big data analytics and clinical decision-making, to uncover and discuss the importance of developing ethical governance for AI/ML in this setting.
Artificial Intelligence and Human Rights
The scope of Artificial Intelligence's (AI) hold on modern life is only just beginning to be fully understood. Academics, professionals, policymakers, and legislators are analysing the effects of AI in the legal realm, notably in human rights work. Artificial Intelligence technologies and modern human rights have lived parallel lives for the last sixty years, and they continue to evolve with one another as both fields take shape. Human Rights and Artificial Intelligence explores the effects of AI on both the concept of human rights and on specific topics, including civil and political rights, privacy, non-discrimination, fair procedure, and asylum. Second- and third-generation human rights are also addressed. By mapping this relationship, the book clarifies the benefits and risks for human rights as new AI applications are designed and deployed. Its granular perspective makes Human Rights and Artificial Intelligence a seminal text on the legal ramifications of machine learning. This expansive volume will be useful to academics and professionals navigating the complex relationship between AI and human rights.
