http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
AI-driven healthcare cybersecurity and privacy
Artificial intelligence-driven healthcare cybersecurity and privacy
1 online resource (19 PDFs (450 pages)).
AI-driven healthcare cybersecurity and privacy explores the integration of intelligent technologies into medical data security and privacy. It examines the role of AI in securing patients' medical information, as well as organizational privacy techniques for broader healthcare systems. This book covers topics such as federated learning, deep learning, and cloud technology, and is a useful resource for engineers, computer and data scientists, security professionals, medical and healthcare workers, academicians, and researchers.
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.
Shrikaant Kulkarni, Saikat Gochhait, editors.
Includes bibliographic references and index.