Main description:

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.

Contents:

Chapter No Chapter Title 1 Introducing AI in Medicine: A Cognitive Informatics Perspective 2 AI in Medicine: Some Pertinent History 3 Data and Information: A Contemporary Landscape 4 Knowledge-based Systems 5 Clinical Cognition and Decision Making 6 Machine Learning Systems 7 Natural Language Processing 8 Explainability in Medical AI 9 Conversational Agents and Dialog Systems 10 Integration of AI for Clinical Decision Support 11 Predicting Clinical Outcomes 12 Interpreting Medical Images 13 Public Health Applications 14 Translational Informatics and Precision Medicine 15 Intelligent Systems in Learning and Education 16 Health Systems Management 17 Framework for the Evaluation of Clinical AI Systems 18 Ethics and Policy Issues 19 Anticipating the Future of AI in Medicine 20 Reflections and Projections