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. First section is introduction to Edge-AI in healthcare. It discusses data usage, modelling and simulation techniques as well as machine and deep learning approaches. The second section discusses the implementation of edge AI for smart healthcare. The topics discussed in this section include, AR/VR and cloud computing, big data management, algorithms, optimization, and IoMT techniques and methods. Third section covers role of Edge-AI in healthcare and the challenges and opportunities of the technologies. This section also provides case studies and discusses sustainability, security, privacy, and trust related to Edge-AI in healthcare.

This book is intended to benefit researchers, academics, industry professionals, R & D organizations and students working in the field of healthcare, healthcare informatics and their applications.

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Yes, you can access Edge-AI in Healthcare by Sonali Vyas, Akanksha Upadhyaya, Deepshikha Bhargava, Vinod Kumar Shukla, Sonali Vyas,Akanksha Upadhyaya,Deepshikha Bhargava,Vinod Kumar Shukla in PDF and/or ePUB format, as well as other popular books in Ciencia de la computación & Ciencias computacionales general. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Year

Print ISBN

eBook ISBN

Edition

Topic

Ciencia de la computación

Subtopic

Ciencias computacionales general

Cover
Half-Title
Series
Title
Copyright
Dedication
Contents
Foreword
Preface
Editor Profiles
Contributors
Chapter 1 Introduction to edge-AI in healthcare
Chapter 2 Edge-AI tools and techniques for healthcare
Chapter 3 Edge-AI, Machine-Learning, and Deep-Learning Approaches for Healthcare
Chapter 4 Transforming healthcare with machine-learning and deep-learning approaches
Chapter 5 Enhancing access of the visually impaired through the smart cane
Chapter 6 Contemporary role of edge-AI in IoT and IoE in healthcare and digital marketing
Chapter 7 Authentication of edge-AI-based smart healthcare systemA review-based study
Chapter 8 Automated Wheelchair for the Physically Challenged with AIoT Modules
Chapter 9 Comparison of machine-learning and deep-learning algorithms for stroke prediction
Chapter 10 Edge computing-based containerized deep-learning approach for intrusion detection in healthcare IoT
Chapter 11 Human mental experience through chatbots: A thematical analysis of human engagement with evidence-based cognitive-behavioral techniques
Chapter 12 An early diagnosis of cardiac disease using feature-optimization-based deep neural network
Chapter 13 Super-resolution in a world of scarce resources for medical imaging applications
Chapter 14 Legal and ethical implications of edge-AI-enabled IoT healthcare monitoring systems
Chapter 15 The prospective role of artificial intelligence in the development dynamic of healthcare sectors
Chapter 16 Edge-AI-empowered blockchain: A game-changer for the medical tourism industry
Chapter 17 System for secure edge healthcare monitoring based on artificial intelligence
Index

About this book

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Table of contents