rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: AI-driven healthcare cybersecurity and privacy
  title info:
    title: Artificial intelligence-driven healthcare cybersecurity and privacy
  name:
    name part: Gochhait, Saikat
    name part: 1974-
    role:
      role term: editor.
  name:
    name part: Kulkarni, Shrikaant
    role:
      role term: editor.
  name:
    name part: IGI Global Scientific Publishing
    role:
      role term: publisher.
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: pau
    date issued: 2025
    issuance: monographic
  language:
    language term: eng
  physical description:
    reformatting quality: access
    form: remote
    extent: 1 online resource (19 PDFs (450 pages)).
  abstract: 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.
  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.
  target audience: specialized
  note: Shrikaant Kulkarni, Saikat Gochhait, editors.
  note: Includes bibliographic references and index.
  subject:
    topic: Medical informatics
  subject:
    topic: Medical care
    topic: Data processing
  subject:
    topic: Data protection
  subject:
    topic: Telecommunication in medicine
  subject:
    topic: Computer security
  subject:
    topic: Computer Security
  subject:
    topic: Medical Informatics Computing
  subject:
    topic: Algorithms.
  subject:
    topic: Artificial Intelligence.
  subject:
    topic: Blockchain.
  subject:
    topic: Cloud Technology.
  subject:
    topic: Cryptography.
  subject:
    topic: Cybersecurity.
  subject:
    topic: Data Security.
  subject:
    topic: Deep Learning.
  subject:
    topic: E-Healthcare.
  subject:
    topic: Federated Learning.
  subject:
    topic: Healthcare Technology.
  subject:
    topic: Internet of Things.
  subject:
    topic: Medical Diagnostics.
  subject:
    topic: Security and Privacy.
  classification: R858 .A33 2025e
  classification: 610.285
  classification: W 26.55.C7 A33 2025e
  related item:
    title info:
      title: e-Book Collection
  identifier: 9798337328294 (electronic bk.)
  identifier: 9789798337321
  identifier: 9798337328
  identifier: 9798337328270
  location:
    physical location: POD
  record info:
    record content source: IGIGL
    record creation date: 250428
    record change date: 20250810211323.3
    record identifier: in00005658626
    language of cataloging:
      language term: eng