Artificial intelligence technology in healthcare : security and privacy issues / Durgesh Srivastava, and Deepak Sinwar.

Includes bibliographical references and index.

"Artificial Intelligence Technology in Healthcare: Security and Privacy Issues focusses on current issues with the patient's privacy and data security including data breaches in healthcare organizations, unauthorized access to patient's information, and medical identity theft. It explains recent breakthroughs and problems in deep learning security and privacy issues, emphasizing current state-of-the-art methods, methodologies, implementation, attacks, and countermeasures. It examines the issues related to develop AI-based security mechanisms which can gather or share data across several healthcare applications securely and privately. The book combines multiple technologies (i.e., IoT, Federated Computing, and AI) for managing and securing smart healthcare systems and includes state-of-the-art machine learning, deep learning techniques for predictive analysis, fog and edge computing based real-time health monitoring. It covers how to diagnose critical diseases from medical imaging using advanced deep learning-based approaches and focusses on latest research on privacy, security, and threat detection on COVID19 through IoT. It also illustrates initiatives for research in smart computing for advanced healthcare management systems. This book is aimed at researchers and graduate students in bioengineering, artificial intelligence, and computer engineering"-- Provided by publisher.