1st Edition

Artificial Intelligence Technology in Healthcare Security and Privacy Issues

Edited By Neha Sharma, Durgesh Srivastava, Deepak Sinwar Copyright 2025
328 Pages 72 B/W Illustrations
by CRC Press

328 Pages 72 B/W Illustrations
by CRC Press

328 Pages 72 B/W Illustrations
by CRC Press

Artificial Intelligence Technology in Healthcare: Security and Privacy Issues focuses on current issues with patients’ privacy and data security including data breaches in healthcare organizations, unauthorized access to patients’ information, and medical identity theft. It explains recent breakthroughs and problems in deep learning security and privacy issues, emphasizing current... Read more

1 Artificial Intelligence in Healthcare: A Paradigm Shift

Kirti Jangra and Jaswinder Singh

2 AI’s Implications in Healthcare and Medical Systems

P Ramyavarshini, P Sai Swetha, A Malini, and Mohd Asif Shah

3 Advancements of Artificial Intelligence in Healthcare

G K Sriram, S Shrinivas, A Malini, and Mohd Asif Shah

4 A Review of Deep Learning Applications in Modernized Healthcare Services

Umamaheswari Rajasekaran, M Bhagampriyal, A Malini, and Mohd Asif Shah

5 An Empirical Evaluation of Learning Models for the Classification of Fall Detection Dataset

Monika and Sakshi Sinha

6 Review in Healthcare Using Augmented Reality/Virtual Reality: An IoT perspective

Manisha Rajput, Rajan Kumar Dudeja, and Shubham Gargrish

7 Shooting Method for Solving Two-point Boundary Value Problems in ODEs Numerically and Applications to Medical Science

Jitender Singh

8 Key Management in Healthcare Using IoMT

Ramkrishna Mondal

9 Security Issues Related to COVID Data Using Artificial Intelligence (AI)

Ramkrishna Mondal

10 Security Issues and Defense Mechanism Using IoMT

Lekha Rani

11 Threat Modeling in Health Care Systems

Gurpreet Singh, Kriti Sharma, Mamta, and Rajwinder Kaur

12 Use of Blockchain Technology for Privacy and Threat Detection

M Rashmi, D K Girija, H K Shilpa, and N Yogeesh

13 Blockchain-Based Decentralized Biometric Authentication System for Vulnerability Analysis

Gurpreet Singh, Sunil Kumar Chawla, Pradeepta Kumar Sarangi, Neha Sharma, and Divyanshu Ranjan

14 Security Issues Related to Cervical Cancer Research: A Bibliometric Analysis

Pummy Dhiman, Anupam Bonkra, Amandeep Kaur, and Rupali Gill

Biography

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 learning, Deep Learning, Cyber Security. She has also published several National & International Patents under the Intellectual Property Rights of Government of India & Abroad. She is actively associated in NAAC preparations at Universities interface. She is associated in many highly impact society membership like IEEE (Senior Member), ACM, ISTE (Life-time Member).

Durgesh Srivastava is an Associate Professor at the Department of Computer Science and Engineering in Chitkara University Institute of Engineering & Technology, Chitkara University, Rajpura, Punjab, India. He received his PhD degree in Computer Science & Engineering from IKG Punjab Technical University, Jalandhar, Punjab, India in 2020. He received B. Tech. degree in Information & Technology (IT) from MIET, Meerut, UP in 2006 and ME in Software Engineering from Birla Institute of Technology (BIT), Mesra, Ranchi, Jharkhand, India in 2008. He has Fourteen years of teaching experience. His research interests include Machine Learning, Soft Computing, Pattern Recognition, Software engineering, Modeling, and design, etc. He has authored several research papers/book in reputed international/national journals and conference/seminar.

Deepak Sinwar is an Assistant Professor at the Department of Computer and Communication Engineering, School of Computing & Information Technology at Manipal University Jaipur, Jaipur, Rajasthan, India. He received his Ph.D and M.Tech degrees in Computer Science and Engineering in 2016 and 2010 respectively; and B.Tech (with honors) in Information Technology in 2008. His research interests include Computational Intelligence, Data Mining, Machine Learning, Reliability Theory, Computer Networks, and Pattern Recognition. He is an enthusiastic and motivating technocrat with more than 11 years of research and academic experience. He is a life member of the Indian Society for Technical Education (India), and a member of ACM and IEEE professional society.