Artificial Intelligence of Health-Enabled Spaces
eBook - ePub

Artificial Intelligence of Health-Enabled Spaces

  1. 192 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Artificial Intelligence of Health-Enabled Spaces

About this book

Artificial Intelligence of Health-Enabled Spaces (AIoH) has made a number of revolutionary advances in clinical studies that we are aware of. Among these advances, intelligent and medical services are gaining a great deal of interest. Nowadays, AI-powered technologies are not only used in saving lives, but also in our daily life activities in diagnosing, controlling, and even tracking of COVID-19 patients. These AI-powered solutions are expected to communicate with cellular networks smoothly in the next-generation networks (5G/6G and beyond) for more effective/critical medical applications. This will open the door for other interesting research areas. This book focuses on the development and analysis of artificial intelligence (AI) model applications across multiple disciplines. AI-based deep learning models, fuzzy and hybrid intelligent systems, and intrinsic explainable models are also presented in this book. Some of the fields considered in this smart health-oriented book include AI applications in electrical engineering, biomedical engineering, environmental engineering, computer engineering, education, cyber security, chemistry, pharmacy, molecular biology, and tourism.

This book is dedicated to addressing the major challenges in fighting diseases and psychological issues using AI. These challenges vary from cost and complexity to availability and accuracy. The aim of this book is hence to focus on both the design and implementation aspects of AI-based approaches in the proposed health-related solutions.

Targeted readers are from varying disciplines who are interested in implementing the smart planet/environments vision via intelligent enabling technologies.

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Yes, you can access Artificial Intelligence of Health-Enabled Spaces by Fadi Al-Turjman in PDF and/or ePUB format, as well as other popular books in Computer Science & Pharmaceutical, Biotechnology & Healthcare Industry. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half-Title Page
  3. Title Page
  4. Copyright Page
  5. Table of Contents
  6. About the Editor
  7. List of Contributors
  8. Chapter 1 IoT and Machine Learning-Based Smart Healthcare System for Monitoring Patients
  9. Chapter 2 Detection and Diagnosis of COVID-19 from Chest X-Ray Images Using Deep Learning
  10. Chapter 3 Analysing the Stages of Diabetic Retinopathy Using Deep Learning Techniques
  11. Chapter 4 COVID-19 Detection Based on Deep Learning Feature Extraction and AdaBoost Ensemble Classifier
  12. Chapter 5 Deep Learning and Transfer Learning Models for Detection of COVID-19
  13. Chapter 6 Industry 4.0 Challenges and Applications in the Healthcare Industry with Emerging Technologies
  14. Chapter 7 Cyber-Security Countermeasures and Vulnerabilities to Prevent Social-Engineering Attacks
  15. Chapter 8 Development of a COVID-19 Tracking System
  16. Chapter 9 An Overview of Autonomous Perception for a Robotic Arm
  17. Chapter 10 Artificial Intelligence-Based Methods for SARS-CoV-2 Detection with CRISPR Systems
  18. Index