Explore the intricate intersections of AI, radiology, and cybersecurity in this essential session – Securing the Imaging AI Workflow. Learn to navigate the challenges of maintaining patient confidentiality in interoperable, multi-vendor systems. Discover strategies to ensure data integrity amidst the risks of AI-augmented image manipulation, and fortify data availability in AI-driven environments. Engage in three focused presentations with live polls, surveys, and interactive Q&A sessions to gain insights into safeguarding sensitive aspects of medical imaging workflows. By the end, you’ll leave empowered with knowledge and strategies to protect against emerging cybersecurity threats in the AI era. An essential session for understanding the CIA framework in medical imaging, preserving data integrity, addressing availability risks, tackling confidentiality challenges unique to AI workflows, and defining crucial cybersecurity terms in the context of AI-driven imaging workflows.

Objectives

• Describe the basics of the CIA (Confidentiality, Integrity, and Availability) framework as it applies to the field of medical imaging, and how AI workflows can amplify each risk.
• List at least three methods for preserving data integrity in AI medical imaging and describe potential consequences of data integrity violations in their own words.
• Clarify at least two risks to system and data availability in an AI-powered medical imaging and how to prioritize them.
• Understand the potential risks and challenges to patient confidentiality unique to AI workflows and identify at least three strategies to address them.
• Define at least five key terms in cybersecurity and explain their implication in AI-driven imaging workflows.