TY  - GEN
AU  - Sharma Neha (edited)
AU  - Sharma,Neha
AU  - Srivastava,Durgesh
AU  - Sinwar,Deepak
TI  - Artificial intelligence technology in healthcare: security and privacy issues 
T2  - Advances in smart healthcare technologies
SN  - 9781032428390
AV  - R 859.7 .A78 A787 
U1  - 610.285 23/eng/20240621
PY  - 2024///
CY  - Boca Raton, FL
PB  - CRC Press
KW  - Artificial intelligence
KW  - Medical applications
KW  - Medical care
KW  - Information technology
KW  - Security measures
KW  - Computer security
KW  - Data protection
N1  - Includes bibliographical references and index
N2  - "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"--
ER  -