Explainable Artificial Intelligence in the Healthcare Industry
eBook - ePub

Explainable Artificial Intelligence in the Healthcare Industry

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

Explainable Artificial Intelligence in the Healthcare Industry

About this book

Discover the essential insights and practical applications of explainable AI in healthcare that will empower professionals and enhance patient trust with Explainable AI in the Healthcare Industry, a must-have resource.

Explainable AI (XAI) has significant implications for the healthcare industry, where trust, accountability, and interpretability are crucial factors for the adoption of artificial intelligence. XAI techniques in healthcare aim to provide clear and understandable explanations for AI-driven decisions, helping healthcare professionals, patients, and regulatory bodies to better comprehend and trust the AI models' outputs.

Explainable AI in the Healthcare Industry presents a comprehensive exploration of the critical role of explainable AI in revolutionizing the healthcare industry. With the rapid integration of AI-driven solutions in medical practice, understanding how these models arrive at their decisions is of paramount importance. The book delves into the principles, methodologies, and practical applications of XAI techniques specifically tailored for healthcare settings.

Information

Publisher
Wiley-Scrivener
Year
2025
Print ISBN
9781394249268
Edition
1
eBook ISBN
9781394249305
Topic
Computer Science
Subtopic
Artificial Intelligence (AI) & Semantics
Index
Computer Science

Table of contents

  1. Cover
  2. Table of Contents
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Preface
  7. 1 A Review on Explainable Artificial Intelligence for Healthcare
  8. 2 Explainable Artificial Intelligence (XAI) in Healthcare: Fostering Transparency, Accountability, and Responsible AI Deployment
  9. 3 Illuminating the Diagnostic Path: Unveiling Explainability in Medical Imaging
  10. 4 HealsHealthAI: Unveiling Personalized Healthcare Insights with Open Source Fine-Tuned LLM
  11. 5 Introduction to Explainable AI in EEG Signal Processing: A Review
  12. 6 Transparency in Disease Diagnosis: Leveraging Interpretable Machine Learning in Healthcare
  13. 7 Transparency in Text: Unraveling Explainability in Healthcare Natural Language Processing
  14. 8 Introduction to Explainable AI in Healthcare: Enhancing Transparency and Trust
  15. 9 Interpretable Machine Learning Techniques
  16. 10 Interpretable Machine Learning Techniques in AI
  17. 11 Interpretable Machine Learning Techniques in Medical System—The Role of Data Analytics and Machine Learning
  18. 12 Interpretable AI: Shedding Light on Medical Image Analysis Using Machine Learning Techniques
  19. 13 Exploring the Role of Explainable AI in Women’s Health: Challenges and Solutions
  20. 14 Explainable AI in Healthcare: Introduction
  21. 15 Ethical Implications of Emotion Recognition Technology in Mental Healthcare: Navigating Privacy, Bias, and Therapeutic Boundaries
  22. 16 Bridging the Gap: Clinical Adoption and User Perspectives of Explainable AI in Healthcare
  23. 17 Application of AI-Based Technologies in the Healthcare Sector: Opportunities, Challenges, and Its Impact—Review
  24. 18 A Complete Road Map for Interpretable Machine Learning Techniques Harnessing Various Real-Time Applications
  25. 19 Future Research Directions: Explainable Artificial Intelligence in Healthcare Industry
  26. 20 Real-World Applications of Explainable AI in Healthcare
  27. 21 Explainable AI in Medical Imaging, Personalized Medicine, and Bias Reduction: A New Era in Healthcare
  28. 22 Understanding Explainability in Medical Imaging
  29. 23 Explainability and Regulatory Compliance in Healthcare: Bridging the Gap for Ethical XAI Implementation
  30. 24 Envisioning Explainable AI: Significance, Real-Time Applications, and Challenges in Healthcare
  31. 25 Enlightened XAI: Illuminating Ethics and Equitable Explainability
  32. 26 Enhancing Trust and Collaboration Using Explainability in Natural Language Processing for AI-Driven Healthcare
  33. About the Editors
  34. Index
  35. Also of Interest
  36. End User License Agreement

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Yes, you can access Explainable Artificial Intelligence in the Healthcare Industry by Abhishek Kumar,T. Ananth Kumar,Prasenjit Das,Chetan Sharma,Ashutosh Kumar Dubey in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over 1.5 million books available in our catalogue for you to explore.