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.
Inhaltsverzeichnis
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
