Edge-AI in healthcare : trends and future perspective
Bibliographic Information
Edge-AI in healthcare : trends and future perspective
edited by Sonali Vyas ... [et al.]
（Edge AI in future computing）
CRC Press, 2023
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Edge AI in healthcare : trends and future perspective
Available at / 1 libraries
Note
Includes bibliographical references and index
Summary:"The book provides comprehensive research ideas about Edge-AI technology that can assist doctors in making better data-driven decisions. It provides insights for improving the healthcare industry by examining future trends, simplifying decision making and investigating structured and unstructured data. Edge-AI in Healthcare: Trends and Future Perspective is more than a comprehensive introduction to Artificial Intelligence as a tool in healthcare data. The book is split into five chapters covering the entire healthcare ecosystem.
Other editors: Akanksha Upandhyaya, Deepshikha Bhargava, Vinod Kumar Shukla
Description and Table of Contents
Description
Provides comprehensive research ideas about Edge-AI technology that can assist doctors in making better data-driven decisions and will provide insights to researchers about healthcare industry, trends and future perspective. Examines how healthcare systems of the future will operate, by augmenting clinical resources and ensuring optimal patient outcomes. Provides insight about how Edge-AI is revolutionizing decision making, early warnings for conditions, and visual inspection in healthcare. Highlight trends, challenges, opportunities and future areas where Healthcare informatics deal with accessing vast data sets of potentially life-saving information.
Table of Contents
1 Introduction to edge-AI in healthcare 2 Edge-AI tools and techniques for healthcare 3 Edge-AI, Machine-Learning, and Deep-Learning Approaches for Healthcare 4 Transforming healthcare with machine-learning and deeplearning approaches 5 Enhancing access of the visually impaired through the smart cane 6 Contemporary role of edge-AI in IoT and IoE in healthcare and digital marketing 7 Authentication of edge-AI-based smart healthcare system: A review-based study 8 Automated Wheelchair for the Physically Challenged with AIoT Modules
9 Comparison of machine-learning and deep-learning algorithms for stroke prediction 10 Edge computing-based containerized deep-learning approach for intrusion detection in healthcare IoT 11 Human mental experience through chatbots: A thematical analysis of human engagement with evidence-based cognitive-behavioral techniques 12 An early diagnosis of cardiac disease using featureoptimization-based deep neural network 13 Super-resolution in a world of scarce resources for medical imaging applications 14 Legal and ethical implications of edge-AI-enabled IoT healthcare monitoring systems 15 The prospective role of artificial intelligence in the development dynamic of healthcare sectors 16 Edge-AI-empowered blockchain: A game-changer for the medical tourism industry 17 System for secure edge healthcare monitoring based on artificial intelligence
by "Nielsen BookData"