24 - The Role of Artificial Intelligence in Image-Guided Procedures: Revolutionizing Interventional Radiology

This educational exhibit highlights the principles and applications of Artificial Intelligence (AI) in Interventional Radiology (IR), focusing on image analysis, decision-making, and procedural guidance. It explores AI-robotics integration for improved accuracy and efficiency and addresses ethical, regulatory, and clinical challenges while providing insights into future developments.

Materials and Methods:

A comprehensive literature review was conducted to illustrate AI’s potential through case studies and demonstrations. Key areas include AI-assisted image segmentation, automated lesion detection, decision-support systems, and robotic assistance in procedures like biopsy and tumor ablation, emphasizing precision and reduced radiation exposure. The role of AI in large imaging datasets, tumor response prediction, and real-time guidance was also reviewed, alongside ethical considerations and clinician-AI collaboration.

Results:

AI enhances precision and efficiency in IR, with applications in image segmentation, lesion detection, and predictive decision-making. Robotic assistance improves procedural accuracy and reduces radiation exposure, while AI-driven data analysis supports vascular interventions and tumor response predictions. Ethical and regulatory challenges remain, underscoring the need for clinician oversight and collaboration to ensure safe integration.

Conclusion:

AI is transforming Interventional Radiology by improving precision and predictive capabilities in planning and execution. Successful integration requires clinicians to critically evaluate AI tools and adapt to evolving technologies, ensuring radiologists remain central to patient care.