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
- Imprint: Academic Press
- Author: Louis J. Catania
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 2 4 4 7 7 - 7
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 8 6 0 0 5 - 5
Foundational Handbook of Artificial Intelligence in Healthcare and Bioscience: A User Friendly Guide for IT Professionals, Healthcare Providers, Researchers, and Clini… Read more
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Request a sales quoteFoundational 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.
- 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
- Cover image
- Title page
- Table of Contents
- Copyright
- Dedication
- List of Illustrations
- Foreword by Adam Dimitrov
- Foreword by Ernst Nicolitz
- Preface
- Postscript
- Acknowledgments
- Section I: Artificial intelligence (AI): Understanding the technology
- 1. The evolution of artificial intelligence (AI)
- Abstract
- 1.1 Human intelligence
- 1.2 Defining artificial intelligence (AI)
- References
- 2. The basic computer
- Abstract
- 2.1 Layers of basic computers
- 2.2 Basic computer language and programming
- 2.3 Basic computer hardware
- 2.4 Basic computer software
- 2.5 Servers, internet and world wide web (www)
- References
- 3. The science and technologies of artificial intelligence (AI)
- Abstract
- 3.1 The theory and science of artificial intelligence (AI)
- 3.2 Artificial neural network (ANN) model of artificial intelligence (AI)
- 3.3 AI software (algorithms)
- 3.4 AI hardware
- 3.5 Specialized AI systems
- 3.6 Sample AI scenarios
- References
- Section II: Artificial intelligence (AI): Applications in health and wellness
- 4. AI applications in the business and administration of health care
- Abstract
- 4.1 AI applications in government agencies (GOVs), non-governmental organizations (NGOs) and third-party health insurers
- 4.2 Big data analytics in health care [Text #1]
- 4.3 Blockchain in health care [Text #2]
- 4.4 Health information and records (electronic health record or EHR) [Text #3]
- 4.5 Population health [Text #4]
- 4.6 Healthcare analytics (descriptive, diagnostic, predictive, prescriptive, discovery) [Text #5]
- 4.7 Precision health (aka precision medicine or personalized medicine) [Text #10]
- 4.8 Preventive medicine/healthcare [Text #11]
- 4.9 Public health [Text #12]
- References
- 5. AI applications in diagnostic technologies and services
- Abstract
- 5.1 Major diagnostic technologies and their AI applications
- 5.2 Additional diagnostic technologies and their AI applications
- References
- 6. Current AI applications in medical therapies and services
- Abstract
- 6.1 Medical care (primary, secondary, tertiary, quaternary care)
- 6.2 Pharmaceutical and biopharmaceutical care
- 6.3 Hospital care
- 6.4 Nursing care
- 6.5 Home health care, nursing homes and hospice care
- 6.6 Concurrent medical conditions (“comorbidity,” aka “multimorbidity”)
- 6.7 Medical/surgical robotics
- 6.8 Stem cells and regenerative medicine
- 6.9 Genetics and genomics therapies
- References
- 7. AI applications in prevalent diseases and disorders
- Abstract
- 7.1 Immunology and autoimmune disease
- 7.2 Genetic and genomic disorders
- 7.3 Cancers
- 7.4 Vascular (cardiovascular and cerebrovascular) disorders
- 7.5 Diabetes (type 1 and 2)
- 7.6 Neurological and sensory disorders and diseases
- 7.7 Musculoskeletal disorders (MSDs)
- 7.8 Integumentary system and exocrine glands
- 7.9 Endocrine glands
- 7.10 Digestive and excretory systems
- 7.11 Renal system and urinary system
- 7.12 Respiratory (pulmonary) system
- 7.13 Reproductive systems
- 7.14 Physical injuries, wounds and disabilities
- 7.15 Infectious disease
- 7.16 Human development, aging, degeneration and death
- 7.17 Chronic disease
- 7.18 Mental and behavioral disorders
- 7.19 Nutrition and exercise (preventive care)
- References
- 8. SARS-CoV-2 and the COVID-19 pandemic
- Abstract
- 8.1 Background
- 8.2 Pathogenesis and bioscience considerations for SARS-CoV-2
- 8.3 Clinical considerations regarding SARS-CoV-2 infection
- 8.4 Treatment and management strategies
- 8.5 Epidemiology and public health considerations in COVID-19
- References
- Epilogue
- Glossary of terminology
- Glossary of abbreviations
- Index
- Edition: 1
- Published: November 25, 2020
- Imprint: Academic Press
- No. of pages: 558
- Language: English
- Paperback ISBN: 9780128244777
- eBook ISBN: 9780323860055
LC
Louis J. 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 InstituteRead Foundations of Artificial Intelligence in Healthcare and Bioscience on ScienceDirect