AI in IR: Where are we today and where we are going?

Sunday, March 30, 2025

8:30 AM – 9:45 AM CT

Location: Music City Center, 207 CD

CE: 1.25

Content Level: 200 (intermediate)

Coordinator(s)

DD

Dania Daye, MD, PhD

Associate Professor
Massachusetts General Hospital/Harvard Medical School, United States

This practical down-to-earth session will explain how and when AI in IR might influence your clinical life. A patient journey through an AI enabled IR point of care will review the workflow, impact points, and transformation from the viewpoint of a patient's journey. LLMs and foundation models will be untangled in simple clinical language with examples of how LLMs might be trained and specifically applied to IR procedures, during the procedure, when we need the information most. Future risks and pitfalls of AI in IR will be outlined in the context of ethics and bias. The nuts and bolts of how to develop, train, translate and validate AI tools in clinical practice will be spelled out.

Learning Objectives:

Better understand the overwhelming implications of AI in IR and medicine in general.
Describe one patient's journey through an AI-enabled IR system into the near future.
Appreciate the roles played by clinicians and scientists alike to develop AI tools for mutual practical applications in IR.

Presentations:

8:30 AM – 8:45 AM CT

Patient Journey in IR Using AI: How Will AI Transform IR Care
Speaker: Dania Daye, MD, PhD – Massachusetts General Hospital/Harvard Medical School
8:45 AM – 9:00 AM CT

LLMS in Procedural Care: Where Are We Today
Speaker: James Anibal – University of Oxford
9:00 AM – 9:15 AM CT

The Future of Ethics and Bias in AI
Speaker: Judy Gichoya, MD – Emory University School of Medicine
9:15 AM – 9:30 AM CT

AI Translation into Clinical Practice: Nuts and Bolts
Speaker: James Anibal – University of Oxford
9:30 AM – 9:45 AM CT

Q&A