Foreword -- Preface -- Section I: Introduction -- Introducing AI in Medicine -- AI in Medicine: A Historical Perspective -- Cognitive Informatics and AI in Medicine -- Data and Computation: A Contemporary Landscape -- Section II: Approaches -- Knowledge-Based Systems -- Clinical Cognition and AI in Medicine -- Machine Learning Systems -- Natural Language Processing -- Explainability in Medical AI -- Section III: Applications -- Integration of AI for Clinical Decision Support -- Predicting Clinical Outcomes -- Interpreting Medical Images -- Public Health Applications.

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.