Artificial Intelligence Technology in Healthcare: Security and Privacy Issues [Hardcover]

1. Artificial Intelligence in Healthcare: A Paradigm Shift. 2. AIs Implication in Healthcare and Medical Systems. 3. Advancements of Artificial Intelligence in Healthcare. 4. A Review of Deep Learning Applications in Modernized Healthcare Services. 5. An Empirical Evaluation of Learning Models for the classification of Fall Detection dataset. 6. Review in Healthcare using Augmented Reality/Virtual Reality: An IoT perspective. 7. Shooting method for solving two-point boundary value problems in ODEs numerically and applications to medical science. 8. Key Management in Healthcare using IoMT. 9. Security issues related to COVID data using Artificial Intelligence (AI). 10. Security Issues and Defense Mechanism Using IoMT. 11. Threat Modeling in Healthcare Systems. 12. Use of Block Chain Technology for Privacy and Threat Detection. 13. Blockchain based Decentralized Biometric Authentication System for Vulnerability Analysis. 14. Security Issues Related to Cervical Cancer Research: A Bibliometric Analysis.

This book 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 healthcare applications.

Neha Sharma is working as Assistant Professor in Department of Computer Science and Engineering in Chitkara University Institute of Engineering & Technology, Chitkara University, Rajpura, Punjab, India. She has received the M.Tech.(CSE), Ph.D. (Computer Science) degree in the area of Computer Science with vast teaching experience of more than 12 Years in reputed organisation. She has more than 25 international publications in the reputed peer reviewed journals including IEEE xplore, SCOPUS and SCI indexed. Her main area of research is the Image processing, Machine ll3D