AI-driven healthcare cybersecurity and privacy /
| Other Authors: | , |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) :
IGI Global Scientific Publishing,
2025.
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| Series: | e-Book Collection.
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| Subjects: |
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.