2026 Enterprise Radiology Artificial Intelligence Subcommittee Retreat

Enterprise Radiology Artificial Intelligence Subcommittee Retreat & CME Course

Associated CME Course: Practical AI Implementation in Radiology
November 4, 2026, 1:00pm-5:00pm CST
Mayo Clinic Siebens Building, 100 2nd Ave SW, 4th Floor (04-05 Nygaard Hall)
Total CME Credit Hours: 4.5 AMA PRA Category 1 credits
Cost: $200

Enterprise Radiology Artificial Intelligence Subcommittee Retreat
November 5–6, 2026
10 East Center Street, Rochester, MN 55904
Hilton Mayo Doctors Hall 1, Rochester, MN
Cost: No Charge

Course Description & Intended Audience

The Enterprise Radiology Artificial Intelligence Subcommittee Retreat is a two-day strategic and operational program designed to advance the responsible, scalable, and clinically meaningful use of artificial intelligence across radiology at Mayo Clinic. Grounded in Mayo Clinic values—placing the needs of the patient first while emphasizing respect, integrity, compassion, healing, teamwork, innovation, excellence, and stewardship—the retreat will convene clinical, operational, informatics, research, innovation, business development, and industry stakeholders to define the next phase of radiology AI implementation.

The retreat will focus on moving AI from promising innovation to measurable clinical impact. Sessions will examine strategic priorities, alignment with clinical practice, real-world deployment lessons, governance, validation, monitoring, workflow transformation, operational efficiency, return on investment, emerging technologies, vendor partnerships, and commercialization pathways. The program is intentionally interactive, combining panel discussions, case-based learning, keynote presentations, internal innovation pitches, vendor showcases, and small-group technology demonstrations.

The accompanying CME course, “Practical AI Implementation in Radiology,” provides a structured, 4.5-credit educational experience focused on how radiology departments can evaluate, select, validate, deploy, govern, monitor, and sustain AI tools in clinical practice. The CME itinerary emphasizes practical decision-making, including how to identify appropriate use cases, assess evidence and regulatory claims, integrate AI into workflow, manage change, address safety and ethics, and monitor performance after go-live.

Together, the retreat and CME course create a comprehensive program for radiology leaders, clinicians, informaticists, researchers, administrators, and AI implementation teams who are working to translate AI capabilities into safe, effective, equitable, and operationally valuable clinical tools.

Course Educational Objectives

By the end of the workshop, participants will be able to:

• Identify one radiology workflow problem that is appropriate for AI deployment and one that is not
• Use a practical checklist to evaluate an AI product’s intended use, evidence, local fit, workflow impact, and monitoring plan
• Describe the minimum governance, validation, and post-go-live monitoring steps needed for safe deployment.
• Recognize which topics, especially generative or more autonomous AI uses, should be presented as evolving rather than settled practice

Attendance at this Mayo Clinic course does not indicate nor guarantee competence or proficiency in the performance of any procedures which may be discussed or taught in this course.