Revolutionizing Digital Healthcare Through Artificial Intelligence and Automation
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Revolutionizing Digital Healthcare  Through Artificial Intelligence and Automation: Principles, Technologies, and Applications

Revolutionizing Digital Healthcare Through Artificial Intelligence and Automation: Principles, Technologies, and Applications


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About the Book

Revolutionizing Digital Healthcare Through Artificial Intelligence and Automation: Principles, Technologies, and Applications is a transformative exploration of how Artificial Intelligence (AI) and automation technologies are reshaping the healthcare landscape. In an era where precision, efficiency, and accessibility in medical services are paramount, this book delves into cutting-edge advancements in AI-powered diagnostics, wearable smart devices, and automated patient care systems. It stands as a beacon for innovators and healthcare professionals who aim to harness technology to streamline processes, improve patient outcomes, and create sustainable solutions in an ever-evolving industry. Beyond its focus on AI and automation, the book also examines the ethical implications and challenges of integrating technology into healthcare. It discusses strategies for implementing these technologies while ensuring patient privacy, maintaining human connection in care delivery, and navigating regulatory hurdles. With detailed case studies and forward-looking insights, the text provides a comprehensive roadmap for leveraging digital tools to shape the future of healthcare.

Table of Contents:
1. Principles and Models of Digital Healthcare Ecosystem 2. The Role of Artificial Intelligence (AI) and Generative AI in Digital Healthcare 3. An Extensive Analysis of AI and IoT for Modern Healthcare Realm 4. Application of AI and Gen AI in Digital Healthcare Ecosystem 5. Advancements and Applications in the Smart Healthcare Ecosystem 6. Enhancing Healthcare Services with AI and Gen AI Technologies 7. Integrating AI and IoT for Smart Healthcare Systems 8. IoT-Based Technologies for Smart Healthcare System 9. Automation and Robotics in Medical Laboratory Services 10. Sensor Technologies and Applications for Smart Healthcare System 11. 6G Communication Network for Smart Healthcare System 12. AR and VR Technologies for Smart Healthcare System 13. Challenges in Implementing Quantum Technology in Healthcare Systems 14. AI-based Blockchain for Smart Healthcare System 15. A New Neural Network Methods for the Detection of Heart Diseases 16. Artificial Internet of Things (AIoT)-Assisted Disease Diagnosis Model for Intelligent Healthcare System 17. Machine Learning for Cardiac Rehabilitation through the Internet of Medical Things in Smart Healthcare System 18. Identify and Classify Brain Tumors Using Deep Learning Techniques and Magnetic Resonance Imaging (MRI) Images 19. Data Mining for Fractal Measurements Features Related Breast Tumor Analysis 20. Artificial Intelligence (AI) and Machine Learning (ML) in Modern Healthcare Ecosystem 21. Recent Advances in the Development and Application of Biosensors for the Detection of Endocrine Disruptor 22. Optimizing ML Algorithms for Real-Time Privacy-Preserving Patient Monitoring in Embedded Systems 23. Digital Edge Detection Algorithms for Accurate Pneumonia Detection in Chest Radiographs 24. Employing AI-Powered Clinical Decision Support to Revolutionize Healthcare 25. Ergonomic Designs in Smart Pills and Biosensors for Optimizing User Experience 26. Medical Laboratory Monitoring and Total Quality Management for a Smart Medical Laboratory 27. Robotics Automation for Smart Healthcare System and Medical Laboratory Service 28. Big Data Analytics for Smart Healthcare System 29. Cybersecurity and Privacy Data Associated with Services of Smart Healthcare 30. Transforming Healthcare from Telemedicine to AI: Principles, Models, Future Prospects, Challenges, and Barriers in the Digital Ecosystem 31. Artificial Intelligence (AI) Techniques for Biosensor Data Analysis 32. Integration of AI and AR in Medical Imaging: A Quantitative Analysis of Workflow Optimization and Diagnostic Performance 33. Machine Learning for Biosensor Signal Processing 34. Revolutionizing Medical Imaging and Diagnostics through Advanced AI and Augmented Reality Technologies 35. Future Prospects, Challenges and Ethics of Cutting-Edge Technologies in Smart Healthcare System

About the Author :
Alex Khang is an AI and Data scientist, and Chief of technology officer at the AI and Data Science Research Centre, Global Research Institute of Technology and Engineering, North Carolina, United States. Professor in Information Technology at University of Science and Technology in Vietnam, India, and United States; IT Workforce Development Consultant, Software industry expert, Software product manager and CTO for High-tech Corporations in Vietnam, EU and the United States.


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Product Details
  • ISBN-13: 9780443364341
  • Publisher: Elsevier Science Publishing Co Inc
  • Publisher Imprint: Academic Press Inc
  • Height: 235 mm
  • No of Pages: 440
  • Weight: 450 gr
  • ISBN-10: 0443364346
  • Publisher Date: 15 Sep 2025
  • Binding: Paperback
  • Language: English
  • Sub Title: Principles, Technologies, and Applications
  • Width: 191 mm


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Revolutionizing Digital Healthcare  Through Artificial Intelligence and Automation: Principles, Technologies, and Applications
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