About the Session
Trending developments in large language models (LLMs) and Agentic AI continue to shape conversations across imaging informatics. Understanding which advances are truly transformative—and which are overhyped—helps professionals evaluate real-world impact. Topics explored include clinical decision support integrations, autonomous imaging workflows, intelligent tool orchestration, and patient-centered communication.
Agentic AI introduces capabilities that move beyond automation toward more autonomous collaboration and decision support, raising important questions about accuracy, safety, accountability, and trust. LLM innovations are accelerating as well, offering new possibilities in reporting, education, and workflow optimization. With rapid change across both areas, distinguishing meaningful progress from hype is essential.
Building on the successful Hip vs. Hype format from SIIM 2025, the audience will vote live on each trend. Panelists will respond with brief expert insights, followed by audience discussion, creating an energetic and engaging exchange around the most relevant developments in LLMs and Agentic AI.
Objectives
- Differentiate between innovative applications and overhyped trends in LLM and Agentic AI workflows.
- Explain the practical implications of current developments in LLMs and Agentic AI.
- Implement a critical framework to evaluate future advancements in generative AI.
Presented By
Dania Daye, MD, PhD
Rafe McBeth, PhD
Satvik Tripathi
