Cohen T. Intelligent Systems in Medicine and Health. The Role of AI 2022

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Cohen T. Intelligent Systems in Medicine and Health. The Role of AI 2022

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Textbook in PDF format This textbook comprehensively covers the latest state-of-the-art methods and applications of artificial intelligence (AI) in medicine, placing these developments into a historical context. Factors that assist or hinder a particular technique to improve patient care from a cognitive informatics perspective are identified and relevant methods and clinical applications in areas including translational bioinformatics and precision medicine are discussed. This approach enables the reader to attain an accurate understanding of the strengths and limitations of these emerging technologies and how they relate to the approaches and systems that preceded them. With topics covered including knowledge-based systems, clinical cognition, machine learning and natural language processing, Intelligent Systems in Medicine and Health: The Role of AI details a range of the latest AI tools and technologies within medicine. Suggested additional readings and review questions reinforce the key points covered and ensure readers can further develop their knowledge. This makes it an indispensable resource for all those seeking up-to-date information on the topic of AI in medicine, and one that provides a sound basis for the development of graduate and undergraduate course materials. Preface The State of AI in Medicine Introducing Intelligent Systems in Medicine and Health: The Role of AI Structure and Content Guide to Use of This Book Acknowledgments Contributors Introduction Introducing AI in Medicine AI in Medicine: Some Pertinent History Data and Computation: A Contemporary Landscape Approaches Knowledge-Based Systems in Medicine Clinical Cognition and AI: From Emulation to Symbiosis Machine Learning Systems Natural Language Processing Explainability in Medical AI Intelligent Agents and Dialog Systems Applications Integration of AI for Clinical Decision Support Predicting Medical Outcomes Interpreting Medical Images Public Health Applications AI in Translational Bioinformatics and Precision Medicine Health Systems Management Intelligent Systems in Learning and Education The Future of AI in Medicine: Prospects and Challenges Framework for the Evaluation of Clinical AI Systems Ethical and Policy Issues Anticipating the Future of Artificial Intelligence in Medicine and Health Care: A Clinical Data Science Perspective Reflections and Projections Terms and Definitions Index