Explainable and Responsible Artificial Intelligence in Healthcare
eBook - PDF

Explainable and Responsible Artificial Intelligence in Healthcare

  1. 377 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Explainable and Responsible Artificial Intelligence in Healthcare

About this book

This book presents the fundamentals of explainable artificial intelligence (XAI) and responsible artificial intelligence (RAI), discussing their potential to enhance diagnosis, treatment, and patient outcomes.

This book explores the transformative potential of explainable artificial intelligence (XAI) and responsible AI (RAI) in healthcare. It provides a roadmap for navigating the complexities of healthcare-based AI while prioritizing patient safety and well-being. The content is structured to highlight topics on smart health systems, neuroscience, diagnostic imaging, and telehealth. The book emphasizes personalized treatment and improved patient outcomes in various medical fields. In addition, this book discusses osteoporosis risk, neurological treatment, and bone metastases. Each chapter provides a distinct viewpoint on how XAI and RAI approaches can help healthcare practitioners increase diagnosis accuracy, optimize treatment plans, and improve patient outcomes.

Readers will find the book:

  • explains recent XAI and RAI breakthroughs in the healthcare system;
  • discusses essential architecture with computational advances ranging from medical imaging to disease diagnosis;
  • covers the latest developments and applications of XAI and RAI-based disease management applications;
  • demonstrates how XAI and RAI can be utilized in healthcare and what problems the technology faces in the future.

Audience
The main audience for this book is targeted to scientists, healthcare professionals, biomedical industries, hospital management, engineers, and IT professionals interested in using AI to improve human health.

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Yes, you can access Explainable and Responsible Artificial Intelligence in Healthcare by Rishabha Malviya,Sonali Sundram in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Series Page
  3. Title Page
  4. Copyright Page
  5. Contents
  6. Foreword
  7. Preface
  8. Chapter 1 Uncapping Explainable Artificial Intelligenceā€“Centered Reinforcement Learning and Natural Language Processing in Smart Healthcare System
  9. Chapter 2 Explainable and Responsible AI in Neuroscience: Cognitive Neurostimulation
  10. Chapter 3 Diagnostic and Surgical Uses of Explainable AI (XAI)
  11. Chapter 4 Osteoporosis Risk Assessment and Individualized Feature Analysis Using Interpretable XAI and RAI Techniques
  12. Chapter 5 Spinal Metastasisā€”Imaging Using XAI and RAI Techniques
  13. Chapter 6 Explainable Artificial Intelligence and Responsible Artificial Intelligence for Dentistry
  14. Chapter 7 Explainable Artificial Intelligence Technique in Deep Learningā€“Based Medical Image Analysis
  15. Chapter 8 XAI Technique in Deep Learningā€“Based Medical Image Analysis
  16. Chapter 9 XAI-Enabled Telehealth
  17. Chapter 10 Intelligent Algorithm for Seizure Alignment Using EEG Clustering with Special Reference to Discrete Wavelet Transform Theory
  18. Chapter 11 Analysis of Biomedical Data with Explainable (XAI) and Responsive AI (RAI)
  19. Chapter 12 Classify Chronic Wounds: The Need of Explainable AI and Responsible AI
  20. Chapter 13 Bone Metastases: Explainable AI and Responsible AI
  21. Index
  22. EULA