Intelligent Cyber-Physical Systems for Sustainable Healthcare

Vandana Bajaj, Savita Wadhawan, Arvind Sharma, Monika Sharma, Ashish Khanna, Lynn Robert Carter

• Publisher: Academic Press
• Year: 2026
• Topic: Biological Sciences
• eBook ISBN:
  9780443415463
• Subtopic: Biotechnology
• Index: Biological Sciences

Intelligent Cyber-Physical Systems for Sustainable Healthcare addresses the integration of emerging technologies like Virtual Reality, Smart Robotics, and Human-Computer Interaction, which are crucial for maximizing digital health's potential. The book includes case studies that highlight challenges faced by medical practitioners and industry professionals, providing valuable insights for designing sustainable iCPS solutions. Aimed at biomedical engineers, researchers, and industry professionals, it offers guidance for developing practical applications in sustainable healthcare. Additionally, shared, cross-disciplinary experiences assist engineers with less clinical expertise in enhancing healthcare applications in the intelligent digital health sector. Overall, case studies illustrate past challenges in the healthcare industry and present effective solutions to overcome them, making the book a comprehensive resource for advancing sustainable healthcare practices. - Focuses on the adoption of Intelligent Cyber-Physical Systems (iCPS) in Healthcare 4.0, emphasizing the integration of technologies such as Artificial Intelligence, Machine Learning, and the Internet of Things - Includes case studies to illustrate the challenges faced by practitioners and industry professionals, offering valuable lessons for the design and development of sustainable iCPS - Explores how AI-driven iCPS, in conjunction with cloud resources, can analyze large volumes of healthcare data

Table of contents

• Title of Book
• Chapter 1 Tech health CPS: transforming healthcare through cyber-physical systems—opportunities and ethical challenges
• Chapter 2 Improving clinical decision-making and operational efficiency through predictive analytics
• Chapter 3 Basic statistical knowledge for data analytics in predictive healthcare
• Chapter 4 Artificial Intelligence and machine learning in clinical pathways for healthcare
• Chapter 5 Role of artificial intelligence in predicting and treating urinary tract infections
• Chapter 6 The rise of heart attacks in adults under 40: a multifaceted threat
• Chapter 7 Revolutionizing sleep apnea management: harnessing telemedicine to transform traditional care into e-health solutions
• Chapter 8 Internet of Things in healthcare solutions: challenges and future perspectives
• Chapter 9 Human iris recognition techniques: a review
• Chapter 10 Unveiling the art of concealment: a review of coverless image steganography in spatial domain
• Chapter 11 The importance of cybersecurity in healthcare systems: protecting patient data and ensuring continuity of care
• Chapter 12 Smart diagnostics: redefining healthcare precision and efficiency with artificial intelligence
• Chapter 13 Leveraging thermal imaging for accurate classification of diabetic foot ulcers
• Chapter 14 Breast cancer image segmentation using clustering techniques: a review
• Chapter 15 Review on human face expression recognition techniques using machine learning
• Chapter 16 Child computer interaction: a systematic review of children’s learning dynamics in modern digital contexts
• Chapter 17 Automatic pancreas segmentation in computed tomography volume using liver–spleen based localization and deep learning networks
• Chapter 18 Essence of Internet of Robotic Things in healthcare: analysis and future directions towards assistive living
• Chapter 19 Digital health transformation: current trends and future prospects
• Chapter 20 Sustainable challenges of smart cities within the IoT era: a review study
• Index