Intelligent Systems in Medicine and Health: The Role of AI


To be published in 2022:
This developing volume will be published by Springer Nature in their Cognitive Informatics (CI) book series, edited by Vimla L. Patel. Conceived as an introductory textbook, the book is intended to be a comprehensive introduction that will take stock of the current state-of-the-art of AI in Medicine (AIM), place these developments in their historical context, and identify factors that may help or hinder their ability to improve patient care, all from a CI perspective. It is our intention that a reader of this volume will attain an accurate picture of the strengths and limitations of these emerging technologies, emphasizing how they relate to the AI systems that preceded them, to the intelligence of human decision makers in medicine, and to the needs and expectations of those who use the resulting tools and systems. This will set the stage for an informed discussion of the potential of such technology to enhance patient care, the obstacles that must be overcome for this to take place, and the ways in which emerging and as-yet-undeveloped technologies may transform the practice of healthcare. In addition to clinical applications of AI (including translational bioinformatics and precision medicine), the volume will cover applications in public health (i.e. at the population level), and ways in which these technologies may influence institutional decision making and education in simulated environments. Informed by this material, the concluding chapters will discuss the future of AI in medicine, drawing inference from current trends to identify factors that may impede or accelerate its development and deployment.

 


Editors:

Trevor A. Cohen, MBChB, PhD, FACMI, University of Washington,

Vimla L. Patel, PhD, DSc, FRSC, FACMI, New York Academy of Medicine

Edward H. Shortliffe, MD, PhD, MACP, FACMI, Columbia University



Previous Books in Series:

Cognitive Informatics in Health and Biomedicine:
Case Studies on Critial Care, Complexity and Errors (2014)

Vimla L. Patel, David R. Kaufman, Trevor Cohen

Cognitive Informatics for Biomedicine:
Human Computer Interaction in Healthcare (2015)

Vimla L. Patel, Thomas G. Kannampallil, David R. Kaufman

Cognitive Informatics in Health and Biomedicine:
Understanding and Modeling Health Behaviors (2017)

Vimla L. Patel, Jose F. Arocha, Jessica Ancker

Cognitive Informatics:
Reengineering Clinical Workflow for Safer and More Efficient Care (2019)

Kai Zheng, Johanna Westbrook, Thomas G. Kannampallil, Vimla L. Patel

In Preparation
Intelligent Systems in Medicine and Health: The Role of AI
T.A. Cohen, V.L. Patel, and E.H. Shortliffe, Editors

Table of Contents

Front Matter

Dedication

Foreword by Bruce G. Buchanan

Preface and Acknowledgements

Table of Contents and Contributors

I. Introduction

1. Introducing AI in Medicine: A Cognitive Informatics Perspective

Trevor A. Cohen, Vimla L. Patel, and Edward H. Shortliffe

2. AI in Medicine: Some Pertinent History

Edward H. Shortliffe and Nigam H. Shah

3. Data and Information: A Contemporary Landscape

Ida Sim and Marina Sirota

II. Approaches

4. Knowledge-based Systems

Peter Szolovits and Emily Alsentzer

5. Clinical Cognition and Decision Making

Vimla L. Patel and Trevor A. Cohen

6. Machine Learning Systems

Devika Subramanian and Trevor A. Cohen

7. Natural Language Processing

Hua Xu and Kirk Roberts

8. Explainability in Medical AI

Ron Li, Naveen Muthu, Dev Dash, Tina Hernandez-Boussard, and Nigam Shah

9. Conversational Agents and Dialog Systems

Timothy Bickmore and Byron Wallace

III. Applications

10. Integration of AI for Clinical Decision Support

Shyam Visweswaran, Andrew J. King, and Gregory F. Cooper

11. Predicating Clinical Outcomes

Riccardo Bellazzi, Arianna Dagliati, and Giovanna Nicora

12. Interpreting Medical Images

Zongwei Zhou, Jianming Liang, and Michael Gotway

13. Public Health Applications

David Buckeridge

14. Translational Bioinformatics and Precision Medicine

Jake Chen and Thanh Nguyen

15. Health Systems Management

Adam Wilcox and Beth Britt

16. Intelligent Systems in Learning and Education

Vimla L. Patel and Parvati Dev

IV. The Future of AI in Medicine: Prospects and Challenges

17. Approaching the Evaluation of Clinical AI Systems

Edward H. Shortliffe, Martin Sepulvèda, and Vimla L. Patel

18. Ethics and Policy Issues

Kenneth Goodman, Diane Korngiebel, and Anthony Solomonides

19. Anticipating the Future of AI in Medicine

Anthony Chang

20. Epilogue

Trevor A. Cohen, Vimla L. Patel, and Edward H. Shortliffe


Glossary

Name Index

Subject Index