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|a Foundations of artificial intelligence in healthcare and bioscience :
|b a user friendly guide for IT professionals, healthcare providers, researchers, and clinicians /
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|a 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
|
| 505 |
8 |
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|a 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
|
| 505 |
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|a 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)
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|a 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
|
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|a 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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