Intelligence-Based Medicine
View on ScienceDirect

Intelligence-Based Medicine

Artificial Intelligence and Human Cognition in Clinical Medicine and Healthcare

First published on June 27, 2020

Write a review

  • Author: Anthony Chang
  • Hardcover ISBN: 9780128233375
  • eBook ISBN: 9780128233382

Purchase options

Purchase options
Available
DRM-free (EPub, Mobi, PDF)
eBook Format Help
Sales tax will be calculated at check-out

Institutional Subscription

Support CenterReturns & Refunds
Free Global Shipping
No minimum order

Description

Intelligence-Based Medicine: Data Science, Artificial Intelligence, and Human Cognition in Clinical Medicine and Healthcare provides a multidisciplinary and comprehensive survey of artificial intelligence concepts and methodologies with real life applications in healthcare and medicine. Authored by a senior physician-data scientist, the book presents an intellectual and academic interface between the medical and the data science domains that is symmetric and balanced.The content consists of basic concepts of artificial intelligence and its real-life applications in a myriad of medical areas as well as medical and surgical subspecialties. It brings section summaries to emphasize key concepts delineated in each section; mini-topics authored by world-renowned experts in the respective key areas for their personal perspective; and a compendium of practical resources, such as glossary, references, best articles, and top companies.The goal of the book is to inspire clinicians to embrace the artificial intelligence methodologies as well as to educate data scientists about the medical ecosystem, in order to create a transformational paradigm for healthcare and medicine by using this emerging new technology.

Key Features

  • Covers a wide range of relevant topics from cloud computing, intelligent agents, to deep reinforcement learning and internet of everything
  • Presents the concepts of artificial intelligence and its applications in an easy-to-understand format accessible to clinicians and data scientists
  • Discusses how artificial intelligence can be utilized in a myriad of subspecialties and imagined of the future
  • Delineates the necessary elements for successful implementation of artificial intelligence in medicine and healthcare

Readership

Clinicians; medical informaticians; data scientists

Table of Contents

  • 1. Artificial Intelligence: Basic Concepts
    2. The Brain and Artificial Intelligence
    3. Brief History of Artificial Intelligence
    4. History of Artificial Intelligence in Medicine
    5. The Current Era of Artificial Intelligence
    6. Deep Learning
    7. Other Key Concepts
    8. Current Concepts of Artificial Intelligence in Medicine
    9. Current Applications of Artificial Intelligence in Medicine
    10. Focus on Selected Subspecialties
    11. Problems and Potential Solutions

Product details

  • No. of pages: 534
  • Language: English
  • Copyright: © Academic Press 2020
  • Published: June 27, 2020
  • Imprint: Academic Press
  • Hardcover ISBN: 9780128233375
  • eBook ISBN: 9780128233382

About the Author

Anthony Chang

Dr. Chang attended Johns Hopkins University for his B.A. in molecular biology prior to entering Georgetown University School of Medicine for his MD. He then completed his pediatric residency at Children’s Hospital National Medical Center and his pediatric cardiology fellowship at Children’s Hospital of Philadelphia. He accepted a position as attending cardiologist in the cardiovascular intensive care unit of Boston Children’s Hospital and as assistant professor at Harvard Medical School. He has been the medical director of several pediatric cardiac intensive care programs (including Children’s Hospital of Los Angeles, Miami Children’s Hospital, and Texas Children’s Hospital). He is currently the Chief Intelligence and Innovation Officer and Medical Director of the Heart Failure Program at Children’s Hospital of Orange County. He has also been named a Physician of Excellence by the Orange County Medical Association multiple years.

Affiliations and Expertise

Chief Intelligence and Innovation Officer, Medical Director, The Sharon Disney Lund Medical Intelligence and Innovation Institute (MI3), Children’s Hospital of Orange County, Computer Scientist in Residence, Chapman University, USA

Ratings and Reviews

Write a review

Latest reviews

(Total rating for all reviews)

  • Dr. T. Sun Aug 09 2020

    THE textbook on AI in healthcare — a source for all

    In Intelligence Based Medicine, Dr. Chang manages to interweave the dual threads of healthcare and artificial intelligence with such a deft touch that he makes their eventual union seem inevitable. The book handles the dense subject matter with a clarity that makes it accessible to newcomers to the field without resorting to oversimplification. He makes a compelling case for why AI can cure what ails our current healthcare system with specialty specific attention. In a book about artificial intelligence, it is Chang's refreshingly human-centric approach that shines through.

  • Spyro P. Fri Aug 07 2020

    Intelligence-Based Medicine

    I love this book! Intelligence-Based Medicine is a MUST READ for anyone who is interested in the future of healthcare. Dr. Anthony Chang introduces the various dimension of AI and data driven analytical approaches in medicine, but then expands into important topics that are often not covered elsewhere. The books makes the case that Artificial intelligence is not just something to consider applying in some aspects of medicine, instead it will fundamentally change everything about medicine, and gives excellent supporting use cases to support that point. Dr. Chang brilliantly describes, the exponential power of machine learning is already empowering care givers with unprecedented precision in the ability to diagnose and treat disease, but beyond the many excellent examples of technical achievements, the application of AI has created a paradigm shift in how we think about biomedical knowledge and clinical evidence, with far reaching impact in the whole culture of medicine. I found the book to be clear enough for those without a technical background to understand, yet sophisticated enough to inspire even the most experienced experts in AI and medicine. I would highly recommend this book to all healthcare providers who are interested in learning how to understand and leverage the inevitable shift from evidence based medicine to intelligence based medicine. I sincerely hope that the next generation of physicians and executives at healthcare organizations learn about this important paradigm shift - the future of medicine depends on it.