Table of Contents:
  • Preface
  • Chapter 1. Integration of AI With Blockchain for Healthcare Security
  • Chapter 2. Challenges and Solutions in Securing AI Algorithms in Healthcare
  • Chapter 3. Enhancing Healthcare Data Security With Stacked Deep Learning Approach
  • Chapter 4. Cybersecurity Approaches to IoT Platforms in E-Healthcare Systems: Artificial Intelligence Application
  • Chapter 5. Cybersecurity Issues on E-Healthcare Cloud Data Warehouse System: Blockchain-Based Federated Learning Approach
  • Chapter 6. Federated Learning for Secure and Privacy-Preserving Medical Diagnostics
  • Chapter 7. Application of Integral Transform Algorithms for Augmenting Cryptographic Security and Performance Analysis
  • Chapter 8. Sustainable AI-Powered Systems and Cybersecurity for Health Diagnostics: Addressing Bias and Fairness in AI for Early Disease Detection
  • Chapter 9. A Mathematical Approach to Enhance Cybersecurity in AI-Driven Healthcare Diagnostics Using J-Transform
  • Chapter 10. Privacy-Preserving Enhancements in Heart Rate Monitoring Through IoT Integration for Remote Healthcare
  • Chapter 11. Reducing the Carbon Footprint in Healthcare Cybersecurity Threats in AI-Powered Healthcare Systems Data Privacy in AI-Driven Diagnostics
  • Chapter 12. Navigating Emerging Threats: Strategies for Cybersecurity in AI-Driven Healthcare Diagnostics and FDA Compliance
  • Chapter 13. Securing Healthcare Innovations: Cybersecurity Frameworks for FDA-Regulated Medical Devices in the Age of AI
  • Compilation of References
  • About the Contributors
  • Index.