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Foundations of Artificial Intelligence in Healthcare and Bioscience
A User Friendly Guide for IT Professionals, Healthcare Providers, Researchers, and Clinicians
Helps healthcare researchers and clinicians understand Artificial Intelligence and how it is transforming the clinical and business aspects of health care
Louis J. Catania (Author)
9780128244777, Elsevier Science
Paperback, published 26 November 2020
558 pages, 75 illustrations (50 in full color)
23.4 x 19 x 3.4 cm, 1.11 kg
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.
Section I: Artificial Intelligence (AI): Understanding the technology 1. The evolution of artificial intelligence (AI)2. The basic computer3. 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 care5. AI applications in diagnostic technologies and services6. Current AI applications in medical therapies and services7. AI applications in prevalent diseases and disorders8. SARS-COV-2 and the COVID-19 Pandemic
Subject Areas: Biomedical engineering [MQW]
