Intelligent Techniques for Security of Medical Data

The rapid digital transformation of healthcare has created unprecedented opportunities for improving patient outcomes, operational efficiency, and accessibility of medical services. At the same time, the increasing reliance on connected devices, cloud infrastructures, and data-driven decision-making has introduced significant challenges related to security, privacy, trust, and regulatory compliance. Emerging technologies such as artificial intelligence, machine learning, blockchain, federated learning, post-quantum cryptography, and neuromorphic computing are playing a pivotal role in addressing these challenges while enabling the next generation of intelligent healthcare systems. Their potential extends from secure data sharing and privacy-preserving analytics to predictive diagnostics, personalized medicine, remote patient monitoring, and autonomous healthcare applications.

The book is intended for undergraduate and postgraduate students, researchers, academicians, healthcare professionals, cybersecurity practitioners, AI engineers, data scientists, and industry experts working in the fields of artificial intelligence, cybersecurity, healthcare informatics, medical data analytics, blockchain technologies, Internet of Things (IoT), and intelligent healthcare systems. It also serves as a valuable reference for professionals seeking to understand the practical implementation of advanced computational and security technologies in modern healthcare environments.

Key Features:

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  Explores novel cutting-edge techniques for the protection of health data.
• Provides a better understanding and analysis of the telemedicine applications with these techniques.
• Discusses the integration of intelligent systems with cutting edge techniques for e- health care management.
• Reviews the development of the different state of the art techniques for social good.
• Examines how the developed techniques will result in better remote health care services with improved and efficient diagnosis.