Foundations of artificial intelligence in healthcare and bioscience : a user friendly guide for IT professionals, healthcare providers, researchers, and clinicians /

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Catania, Louis J. (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Amsterdam : Academic Press, 2020.
Temas:
Artificial intelligence > Medical applications.
Artificial intelligence > Biological applications.
Artificial intelligence.
Artificial Intelligence
Intelligence artificielle en m�edecine.
Intelligence artificielle > Applications biologiques.
Intelligence artificielle.
artificial intelligence.
Artificial intelligence
Artificial intelligence > Biological applications
Artificial intelligence > Medical applications
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Front Cover
  • Foundations of Artificial Intelligence in Healthcare and Bioscience
  • Copyright Page
  • Dedication
  • Contents
  • List of Illustrations
  • Foreword by Adam Dimitrov
  • Foreword by Ernst Nicolitz
  • Preface
  • Postscript
  • Acknowledgments
  • I. Artificial intelligence (AI): Understanding the technology
  • Introduction
  • References
  • 1 The evolution of artificial intelligence (AI)
  • 1.1 Human intelligence
  • 1.2 Defining artificial intelligence (AI)
  • References
  • 2 The basic computer
  • 2.1 Layers of basic computers
  • 2.1.1 Input layer
  • 2.1.2 Inner (hidden) layer
  • 2.1.3 Output layer
  • 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)
  • 2.5.1 Servers
  • 2.5.2 Internet
  • 2.5.3 World wide web (www)
  • References
  • 3 The science and technologies of artificial intelligence (AI)
  • 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)
  • 3.3.1 Machine learning
  • 3.3.1.1 Supervised (labeled) data
  • 3.3.2 Neural networking and deep learning
  • 3.3.2.1 Unsupervised (unlabeled) data
  • 3.3.2.2 Reinforcement learning
  • 3.4 AI hardware
  • 3.4.1 Ram (random access memory)
  • 3.4.2 Computer servers (file, mail, print, web, game, apps)
  • 3.4.3 Central processing unit (CPU)
  • 3.4.4 Graphic processing unit (GPU)
  • 3.4.5 Accelerators [61]
  • 3.4.6 Quantum processors using "qubits" (vs digital binary code)
  • 3.4.7 Neuromorphic chips ("self-learning" microchips)
  • 3.4.8 Application specific integrated circuit (ASIC)
  • 3.4.9 Field-programmable gate array (FPGA) integrated circuit with hardware description language (HDL)
  • 3.5 Specialized AI systems
  • 3.5.1 Natural language processing (NLP)
  • 3.5.2 Natural language generation (NLG)
  • 3.5.3 Expert systems
  • 3.5.4 "Internet of things" (IoT)
  • 3.5.5 Cyber-physical system (CPS)
  • 3.5.6 Big data analytics
  • 3.5.7 Blockchain
  • 3.5.8 Robotics
  • 3.6 Sample AI scenarios
  • 3.6.1 "Why is the Mona Lisa smiling?"
  • 3.6.2 The "great steak" experience
  • References
  • II. Artificial intelligence (AI): Applications in health and wellness
  • Introduction
  • References
  • 4 AI applications in the business and administration of health care
  • 4.1 AI applications in government agencies (GOVs), non-governmental organizations (NGOs) and third-party health insurers
  • 4.1.1 Primary AI applications GOVs, NGOs, and third-party health insurers (1, 2, 3)
  • 4.1.2 Additional AI applications to GOVs, NGOs, and third-party health insurers (4, 5, 6)
  • 4.2 Big data analytics in health care [Text #1]
  • 4.2.1 Primary AI literature reviews of big data analytics (1, 2, 3)
  • 4.2.2 Additional AI literature reviews of big data analytics (4, 5, 6)
  • 4.3 Blockchain in health care [Text #2]
  • 4.3.1 Primary AI literature reviews of blockchain (1, 2, 3)

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