Agentic AI has the potential to redefine radiology by evolving beyond traditional workflows into more autonomous, interconnected, and adaptive pipelines—enhancing efficiency, improving quality, and reducing the burden on radiologists. But what exactly is Agentic AI? How does it work, and how can it be applied in radiology? This webinar brings together experts for an engaging discussion on the capabilities, limitations, and future of Agentic AI in medical imaging.

The panelists will explore key topics such as what differentiates an agentic workflow, how they work, how large language models (LLMs) have evolved to support AI Agents, and the real-world applications. The session will also examine emerging trends, potential challenges, and expectations for the future of AI-driven radiology. Attendees will gain valuable insights into where Agentic AI stands today and how it may shape the next generation of medical imaging workflows.

Objectives

  • Discuss the foundations and types of Agentic AI in radiology.
  • Explore real-world use cases demonstrating AI Agent impact on radiology workflows.
  • Identify challenges and considerations for adopting AI Agents in clinical settings.

CE Credit

SIIM has approved this activity for 1.0 hours of SIIM IIP Credits towards certification and re-certification by the American Board of Imaging Informatics (ABII).

To receive credit, registrants must view the entire webinar and then complete the post-webinar survey. Webinar credits will only be awarded one time per webinar view, regardless of if the learner watches the content live or on-demand.

Note: In order to receive credits for any events/learning you attend you must select your eligible credit types found in the CE & Certification section of your MySIIM Account profile.

To access the webinar, once you are registered navigate to My Learning in your My SIIM Account profile.    

Not a member?  Join SIIM Today and Save! 

DATE

May 12, 2025

Time

12:00 pm - 1:00 pm (ET)

Credit Amount

1.0

Credit Type

IIP

Non-Member Cost

$30

Member Cost

$0

Delivery Type

  • On-Demand

Audience Type

  • Clinician
  • Imaging IT
  • Researcher/Scientist
  • Student Member in Training (SMIT)
  • Vendor

Go to Webinar

Speakers

Imon Banerjee, PhD

Associate Professor of Radiology

Mayo Clinic, Phoenix, Arizona

Paulo Kuriki, MD

Assistant Professor of Radiology, Director, AI Lab

UT Southwestern Medical Center

George Shih, MD, MS

Associate Professor of Radiology, Vice Chair for Informatics

Weill Cornell Medicine

Related Webinars

Webinar

Guardrails for Growth: AI Governance in Medical Imaging

Sep 30, 2025

AI is transforming medical imaging—but are you ready to govern it? Join us to explore practical, real-world strategies for responsible AI governance, from bias mitigation and safety to regulatory alignment. Learn how to build oversight teams, set internal policies, and scale AI responsibly across your enterprise.

Webinar

System Reliability and Security Management in Medical Imaging

Aug 20, 2025

Looking to learn practical strategies for protecting imaging systems from cyber threats? Discover how to assess your network, apply security standards, and strengthen your defenses—even with limited resources, with this webinar. Don’t wait for an attack to reveal your vulnerabilities—take the first step toward resilience today.

Webinar

From Strain to Strength: The Ergonomic Edge for Radiology and Pathology Professionals

Jul 17, 2025

Discover how ergonomic design is transforming diagnostic workspaces. This webinar explores innovative workstation features that boost comfort, accuracy, and efficiency—especially in PACS environments. Get practical tips to improve clinician well-being and productivity.