Cohen T.A., Patel V.L., Shortliffe E.H. (eds.) Intelligent Systems in Medicine and Health: The Role of AI

Cham: Springer, 2022. — 607 p.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