e-ISBN : 978-93-7020-030-2Publisher : Iterative International Publishers (IIP), Selfypage Developers Pvt Ltd.Volume : 4-2025
AIM & SCOPE
The integration of Artificial Intelligence (AI) into the healthcare sector has revolutionized clinical decision-making, diagnostics, patient monitoring, and administrative efficiency. However, as digital transformation accelerates, it brings with it a pressing concern: the security and privacy of sensitive health data. The increasing reliance on interconnected systems, cloud-based platforms, and AI-driven analytics presents new vulnerabilities that traditional security models struggle to address. This book, Artificial Intelligence Technology in Healthcare: Security and Privacy Issues, examines the crucial intersection of AI applications and cybersecurity within the healthcare domain. It explores how machine learning (ML) and AI can both enhance and challenge the existing frameworks designed to protect patient information and ensure system integrity. Through a comprehensive collection of chapters authored by researchers and experts in the field, this volume presents a wide spectrum of topics—from secure AI model design, privacypreserving data sharing techniques, and adversarial threats to ethical considerations and regulatory compliance in healthcare AI deployment. Each chapter balances theoretical insights with real-world implementations, offering a practical perspective on mitigating risks in AI-driven healthcare environments. Our goal is to provide readers with an in-depth understanding of the emerging security and privacy challenges brought by AI technologies in healthcare, along with innovative approaches to address them. This book serves as a valuable resource for healthcare professionals, cybersecurity researchers, policy makers, AI developers, and students alike. As the healthcare landscape continues to evolve, we hope this book contributes meaningfully to safer, more resilient, and ethically guided AI adoption in healthcare systems worldwide.
Chapter 1INTRODUCTION TO DATA SCIENCEhttps://www.doi.org/10.58532/nbennurAITH1
Chapter 2STATISTICS AND PROBABILITY FOR DATA SCIENCEhttps://www.doi.org/10.58532/nbennurAITH2
Chapter 3PROGRAMMING FOR DATA SCIENCE: PYTHON, R, SQL, AND NOSQLhttps://www.doi.org/10.58532/nbennurAITH3
Chapter 4DATA WRANGLING AND PREPROCESSING FOR DATA SCIENCEhttps://www.doi.org/10.58532/nbennurAITH4
Chapter 5EXPLORATORY DATA ANALYSIS AND VISUALIZATIONhttps://www.doi.org/10.58532/nbennurAITH5
Chapter 6MACHINE LEARNING FUNDAMENTALS FOR DATA SCIENCE:ALGORITHMS, EVALUATION, AND APPLICATIONShttps://www.doi.org/10.58532/nbennurAITH6
Chapter 7DEEP LEARNING FOR DATA SCIENCE: ARCHITECTURES, ALGORITHMS, AND REALWORLD APPLICATIONShttps://www.doi.org/10.58532/nbennurAITH7
Chapter 8BIG DATA TECHNOLOGIES AND CLOUD COMPUTING FOR DATASCIENCE ANALYTICShttps://www.doi.org/10.58532/nbennurAITH8
Chapter 9ARTIFICIAL INTELLIGENCE IN HEALTHCARE: TRANSFORMING MEDICAL PRACTICE AND FUTURE PROSPECTShttps://www.doi.org/10.58532/nbennurAITH9
Chapter 10REGULATORY FRAMEWORKS FOR AI IN HEALTHCARE:COMPLIANCE AND STANDARDShttps://www.doi.org/10.58532/nbennurAITH10
Chapter 11THE FUTURE OF SECURE AND OBLIGATORY COMMUNICATION: BLOCKCHAIN APPLICATIONS FOR SECURE 6G COMMUNICATIONShttps://www.doi.org/10.58532/nbennurAITH11
EDITORIAL BOARD MEMBERS
Er. Navjot Singh TalwandiAssistant Professor Chandigarh Universityspecializing in Artificial Intelligence (AI)Machine Learning (ML),Cybersecurity, and Data Science.
Dr. Vijay Bhardwaj Professor Chandigarh University, Punjab.
Dr. Sukhpreet SinghAssistant ProfessorDepartment of Computer Science andEngineering at AITChandigarh University, Mohali.
Dr. Tejinder Pal Singh BrarProfessor at MMICT MMU (Deemed University) Mullana Ambala.