Skip to main content

Intelligent Systems in Medicine and Health

The Role of AI

  • Textbook
  • © 2022

Access provided by Autonomous University of Puebla

Overview

  • Emphasizes the impact of contemporary approaches to artificial intelligence on human decision-making
  • Considers the impact of artificial intelligence in medicine across the spectrum of biomedical informatics applications
  • Features a historical perspective on the subject enabling the reader to benefit from past lessons learned

Part of the book series: Cognitive Informatics in Biomedicine and Healthcare (CIBH)

Buy print copy

Softcover Book USD 64.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 99.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

About this book

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.


Similar content being viewed by others

Keywords

Table of contents (20 chapters)

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

Editors and Affiliations

  • University of Washington, Seattle, USA

    Trevor A. Cohen

  • New York Academy of Medicine, New York, USA

    Vimla L. Patel

  • Columbia University, New York, USA

    Edward H. Shortliffe

About the editors

Trevor A. Cohen, MBChB, PhD, FACMI is a Professor of Biomedical Informatics and Medical Education at the University of Washington in Seattle. His research focuses on the generation of distributed representations of biomedical concepts, and their application to problems in healthcare and biomedicine. Additional interests include the study and augmentation of clinical comprehension, and its role in error detection and recovery. Before joining the University of Washington, he held academic appointments at the University of Texas Health Sciences Center in Houston (2009-2018) and Arizona State University (2007-2009). Prior to this, and after training and practicing as a physician in South Africa, he completed his informatics doctoral work at Columbia University in New York, with a research focus on the development of automated methods to enhance clinical comprehension in psychiatry. He has published extensively in the areas of distributional semantics and clinical cognition, with application areas including information retrieval, pharmacovigilance, literature-based discovery, detection of linguistic indicators of psychiatric and neurodegenerative conditions, and analysis of social media. He is an elected fellow of the American College of Medical Informatics, and a member of the editorial board of the Journal of Biomedical Informatics. He is also co-editor of the Springer volume Cognitive Informatics in Health and Biomedicine (978-1-4471-5490-7)

Vimla L. Patel, Ph.D., DSc, FRSC, FACMI, is the Director and Senior Research Scientist at the Center for Cognitive Studies in Medicine and Public Health at the New York Academy of Medicine. She has adjunct professorial appointments at Columbia University, Arizona State University, and Weill Cornell Medical College. She was trained as a cognitive psychologist at McGill University in Montreal, and subsequently served there as a Professor of Medicine and Psychology and the Director of the Cognitive Science Center. She was later appointed to several biomedical informatics faculties as a Professor at Columbia (2000-2007), Professor and Chair at Arizona State University (2007-2009), and Professor at the University of Texas Health Sciences Center in Houston (2009-20011). She has expertise in using cognitive methods to capture and analyze data to model clinical decision-making and explore ways to augment human intelligence. Her recent research in cognitive informatics addresses the nature of complexity in the healthcare environment and the use of appropriate methods of investigation for health information technology intervention and patient safety. She is an elected fellow of the Royal Society of Canada (Academy of Social Sciences), the American College of Medical Informatics (ACMI), and the International Academy of Health Sciences Informatics (IAHSI). She was awarded the 2021 William W. Stead Award for Thought Leadership in Informatics. She edits the Springer book series in Cognitive Informatics in Biomedicine and Healthcare and has previously served as Associate Editor of Journal of Biomedical Informatics and Assistant Editor of Artificial Intelligence in Medicine. With a passion for mentoring graduate students, Dr. Patel has over 350 scholarly publications.

Edward H. Shortliffe, MD, PhD, MACP, FACMI is Chair Emeritus & Adjunct Professor in the Department of Biomedical Informatics at Columbia University’s Vagelos College of Physicians and Surgeons. He is also Adjunct Professor of Biomedical Informatics in the College of Health Solutions at Arizona State University and Adjunct Professor of Population Health Sciences (Health Informatics) at Weill Cornell Medical College. Previously he served as President and Chief Executive Officer of the American Medical Informatics Association. He has also held academic appointments at the University of Texas Health Sciences Center in Houston and the University of Arizona. He chaired the Department of Biomedical Informatics at Columbia (2000-2007), and the Section on Medical Informatics at Stanford University (1979-2000). A pioneer in the development of applications of artificial intelligence in medicine, including the first medical expert system (MYCIN), he has also spearheaded the formation and evolution of graduate degree programs in biomedical informatics at Stanford, Columbia, and ASU. Both a PhD informatics scientist and a physician who has practiced internal medicine, Dr. Shortliffe is an elected member of the National Academy of Medicine. He has also been elected to fellowship in the American College of Medical Informatics (ACMI), the Association for the Advancement of Artificial Intelligence (AAAI), and the International Academy for Health Sciences Informatics (IAHSI). A Master of the American College of Physicians, he received the Association of Computing Machinery’s Grace Murray Hopper Award in 1976 , ACMI’sMorris F. Collen Award in 2006, and IMIA’s François Grémy Award of Excellence in 2021. Editor Emeritus of the Journal of Biomedical Informatics and editor of a well-known textbook on Biomedical Informatics (now in its fifth edition), Dr. Shortliffe has authored over 375 articles and books in the fields of biomedical informatics and artificial intelligence.


Bibliographic Information

  • Book Title: Intelligent Systems in Medicine and Health

  • Book Subtitle: The Role of AI

  • Editors: Trevor A. Cohen, Vimla L. Patel, Edward H. Shortliffe

  • Series Title: Cognitive Informatics in Biomedicine and Healthcare

  • DOI: https://doi.org/10.1007/978-3-031-09108-7

  • Publisher: Springer Cham

  • eBook Packages: Medicine, Medicine (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022

  • Hardcover ISBN: 978-3-031-09107-0Published: 10 November 2022

  • Softcover ISBN: 978-3-031-09110-0Published: 11 November 2023

  • eBook ISBN: 978-3-031-09108-7Published: 09 November 2022

  • Series ISSN: 2662-7280

  • Series E-ISSN: 2662-7299

  • Edition Number: 1

  • Number of Pages: XXV, 598

  • Number of Illustrations: 35 b/w illustrations, 89 illustrations in colour

  • Topics: Health Informatics, Artificial Intelligence, Public Health

Publish with us