Foundations of Artificial Intelligence in Healthcare and Bioscience

Foundations of Artificial Intelligence in Healthcare and Bioscience

A User Friendly Guide for IT Professionals, Healthcare Providers, Researchers, and Clinicians

1st Edition - November 25, 2020

Write a review

  • Author: Louis Catania
  • Paperback ISBN: 9780128244777
  • eBook ISBN: 9780323860055

Purchase options

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

Institutional Subscription

Free Global Shipping
No minimum order


Foundational Handbook of Artificial Intelligence in Healthcare and Bioscience: A User Friendly Guide for IT Professionals, Healthcare Providers, Researchers, and Clinicians uses color-coded illustrations to explain AI from its basics to modern technologies. Other sections cover extensive, current literature research and citations regarding AI’s role in the business and clinical aspects of health care. The book provides readers with a unique opportunity to appreciate AI technology in practical terms, understand its applications, and realize its profound influence on the clinical and business aspects of health care. Artificial Intelligence is a disruptive technology that is having a profound and growing influence on the business of health care as well as medical diagnosis, treatment, research and clinical delivery. The AI relationships in health care are complex, but understandable, especially when discussed and developed from their foundational elements through to their practical applications in health care.

Key Features

  • Provides an illustrated, foundational guide and comprehensive descriptions of what Artificial Intelligence is and how it functions
  • Integrates a comprehensive discussion of AI applications in the business of health care
  • Presents in-depth clinical and AI-related discussions on diagnostic medicine, therapeutic medicine, and prevalent disease categories with an emphasis on immunology and genetics, the two categories most influenced by AI
  • Includes comprehensive coverage of a variety of AI treatment applications, including medical/pharmaceutical care, nursing care, stem cell therapies, robotics, and 10 common disease categories with AI applications


Academics (scientists, researchers, MSc. PhD. students) in the fields of Biomedical Engineering, Computer Science, and Information Technology. The audience also includes researchers and clinicians in biotech, medical, and healthcare fields. The book may be used in Medical, Biomedical, and Data Science oriented courses given at especially Health, Biology, Biomedical Engineering or similar programs of universities, institutions

Table of Contents

  • Section I: Artificial Intelligence (AI): Understanding the technology

    1. The evolution of artificial intelligence (AI)
    2. The basic computer
    3. The science and technologies of artificial intelligence (AI)

    Section II: Artificial Intelligence (AI): Applications in Health and Wellness

    4. AI applications in the business and administration of health care
    5. AI applications in diagnostic technologies and services
    6. Current AI applications in medical therapies and services
    7. AI applications in prevalent diseases and disorders
    8. SARS-COV-2 and the COVID-19 Pandemic

Product details

  • No. of pages: 558
  • Language: English
  • Copyright: © Academic Press 2020
  • Published: November 25, 2020
  • Imprint: Academic Press
  • Paperback ISBN: 9780128244777
  • eBook ISBN: 9780323860055

About the Author

Louis Catania

Dr. Louis J. (Lou) Catania is an internationally acclaimed educator, and a recognized expert in eye care, health care, artificial intelligence (AI) and immunology. He has authored over 160 journal articles and 12 textbooks, one of which, “Primary Care of the Anterior Segment” received the Baron's Five Star (highest) rating for a medical textbook. He is currently a lecturer with the University of North Florida, Department of Continuing Education, Osher Lifelong Learning Institute; and a visiting Professor at Salus University, College of Health Sciences. During his 52-year clinical and academic career he has taught and lectured extensively worldwide. Dr. Catania’s career in healthcare started as an optometric physician with an interest in corneal immunology. That interest grew into postdoctoral pursuits over the past 35 years with studies in virology, immunology and public health (University of Rochester, UPenn, Stanford Continuing Studies and MIT OpenCourseWare). He has dedicated himself to research, teaching, and writing with his 3 most recent books on AI in healthcare, AI in immunology, and an inspired new text on the mercurial nature of the human immune system (“The Paradox of the Immune System”). Dr. Catania’s professional accomplishments in eyecare, healthcare and immunology have produced countless honors and awards including 2 Honorary Doctor of Science degrees; Distinguished Faculty Scholar at 3 academic institutions; induction into the National Optometry Hall of Fame; and innumerable domestic and international keynote and commencement addresses. In his personal time, Dr. Catania is an active volunteer with the National Park Service; a sea turtle patrol monitor in his beach community; and involved in multiple environmental, humanitarian and human welfare agencies.

Affiliations and Expertise

Salus University, College of Health Sciences; University of North Florida, Osher Lifelong Learning Institute

Ratings and Reviews

Write a review

Latest reviews

(Total rating for all reviews)

  • Paul F. Tue Jan 26 2021

    Paul B. Freeman, OD, Editor-in Chief, Optometric Clinical Practice

    As a healthcare professional, I am seeing more articles describing how artificial intelligence is going to positively impact on timely diagnosis and treatment by taking advantage of copious amounts of data to which most professionals would not ordinarily have access. However, the language describing the process and concepts is still relatively new to most clinicians. Foundations of Artificial Intelligence in Healthcare and Bioscience can function as that knowledgeable friend to call on to help explain the process of artificial intelligence, to give confidence in being able to understand this exciting topic.