Artificial Intelligence Technology in Healthcare: Security and Privacy Issues

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, privacy-preserving 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.