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Artificial intelligence in healthcare /

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Bibliographic Details
Corporate Author: EBSCOhost
Other Authors: Bohr, Adam (Editor), Memarzadeh, Kaveh (Editor)
Format: eBook
Language:English
Published: San Diego, CA : Academic Press, an imprint of Elsevier, [2020]
Subjects:
Artificial intelligence > Medical applications.
Medical informatics.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Front Cover
  • Artificial Intelligence in Healthcare
  • Copyright Page
  • Endorsement
  • Contents
  • List of contributors
  • About the editors
  • Biographies
  • Preface
  • About this book
  • Intended audience
  • How is this book organized
  • Introduction
  • The promise of an intelligent machine
  • Current applications and challenges in healthcare
  • 1 Current healthcare, big data, and machine learning
  • 1.1 Current healthcare practice
  • 1.1.1 The rising need for technology
  • 1.1.2 New models in healthcare
  • 1.2 Value-based treatments and healthcare services
  • 1.2.1 Value-based healthcare
  • 1.2.2 Increasing health outcomes
  • 1.2.3 Patient-centered care (the patient will see you now)
  • 1.2.4 Personalized medicine
  • 1.3 Increasing data volumes in healthcare
  • 1.3.1 Big data and data accumulation
  • 1.3.2 Data generation sources
  • 1.3.3 Big data types
  • 1.4 Analytics of healthcare data (machine learning and deep learning)
  • 1.4.1 Machine learning
  • 1.4.2 Deep learning
  • 1.5 Conclusions/summary
  • References
  • 2 The rise of artificial intelligence in healthcare applications
  • 2.1 The new age of healthcare
  • 2.1.1 Technological advancements
  • 2.1.2 Artificial intelligence applications in healthcare
  • 2.2 Precision medicine
  • 2.2.1 Genetics-based solutions
  • 2.2.2 Drug discovery and development
  • 2.2.2.1 Drug property and activity prediction
  • 2.2.2.2 De novo design through deep learning
  • 2.2.2.3 Drug-target interactions
  • 2.3 Artificial intelligence and medical visualization
  • 2.3.1 Machine vision for diagnosis and surgery
  • 2.3.1.1 Computer vision for diagnosis and surgery
  • 2.3.2 Deep learning and medical image recognition
  • 2.3.3 Augmented reality and virtual reality in the healthcare space
  • 2.3.3.1 Education and exploration
  • 2.3.3.2 Patient experience
  • 2.4 Intelligent personal health records
  • 2.4.1 Health monitoring and wearables
  • 2.4.2 Natural language processing
  • 2.4.3 Integration of personal records
  • 2.5 Robotics and artificial intelligence-powered devices
  • 2.5.1 Minimally invasive surgery
  • 2.5.2 Neuroprosthetics
  • 2.6 Ambient assisted living
  • 2.6.1 Smart home
  • 2.6.2 Assistive robots
  • 2.6.3 Cognitive assistants
  • 2.6.4 Social and emotional stimulation
  • 2.7 The artificial intelligence can see you now
  • 2.7.1 Artificial intelligence in the near and the remote
  • 2.7.2 Success factors for artificial intelligence in healthcare
  • 2.7.2.1 Assessment of condition
  • 2.7.2.2 Managing complications
  • 2.7.2.3 Patient-care assistance
  • 2.7.2.4 Medical research
  • 2.7.3 The digital primary physician
  • 2.7.3.1 Artificial intelligence prequalification (triage)
  • 2.7.3.2 Remote digital visits
  • 2.7.3.3 The future of primary care
  • References
  • 3 Drug discovery and molecular modeling using artificial intelligence
  • 3.1 Introduction. The scope of artificial intelligence in drug discovery