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Full Description
This book comprehensively discusses the latest trends and developments in healthcare applications including artificial intelligence, the Internet of Things, machine learning algorithms, deep learning algorithms, and 5G technology. It covers important topics such as 5 G-based smart healthcare network security, and data management and security.
Features:
• Covers the key challenges and considerations in healthcare applications and 5G technology, such as safety, reliability, and cost-effectiveness.
• Discusses the latest trends and developments in healthcare applications including artificial intelligence, the Internet of Things, and machine learning algorithms.
• Provides an in-depth analysis of the technical aspects of 5G technology, healthcare automation, and social and economic implications of the latest technologies.
• Bridges the gap between artificial intelligence, machine learning, and deep learning with advanced communication technologies used in healthcare applications.
• Highlights the latest design and problem-solving skills of engineering with health sciences to advance healthcare treatment with 5G technology.
It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electrical and communications engineering, computer science and engineering, and biomedical engineering.
Contents
Chapter 1. Role of AI & ML in Lung Disease Detection based on Lung Sound Analysis using Deep Learning Algorithms. Chapter 2. Application of an Artificial Intelligence (AI) for Tele-Healthcare Diagnosis. Chapter 3. Transformative Applications of AI and ML in Diagnostics and Disease Treatment. Chapter 4. Predictions of Malnutrition among Children. Chapter 5. Precise segmentation of anterior cruciate ligament tear from clinical MR images using meta-heuristic optimization. Chapter 6. Design and Development of IoT enabled Drone using for Agriculture and Medical Applications with integration of AI. Chapter 7. A Deep Learning based Diabetic Retinopathy Detection Model. Chapter 8. Building Network Slice for Health Care Equipment Over 5G Services. Chapter 9. Design and Implementation of Personal Protective Equipment Detection System using YOLO v9 for Industrial Environments. Chapter 10. Improving Spectrum Resource Management with an Advanced Deep Learning - based Model. Chapter 11. Hybrid Dense Block convolutional Transformers (DBCT) for Lung cancer detection and Severity Analysis. Chapter 12. Computer Vision Based Robotic Hand for Medical Healthcare Applications. Chapter 13. Yoga pose estimation using PoseNet Model. Chapter 14. Patient Health Monitoring using IoT and Machine Learning. Chapter 15. Leveraging Machine Learning and Artificial Intelligence for Advanced Mobile Network Systems. Chapter 16. Transforming Patient Care: The Impact of 5G Technology on Telemedicine, Remote Monitoring, and Healthcare Delivery. Chapter 17. Revolutionizing Healthcare: The Role of Artificial Intelligence, 5G, Cloud Services, and Other Enabling Technologies. Chapter 18. Melanoma Skin Cancer Detection Using Hybrid Attention DCNN-Bi LSTM Architecture
