As AI becomes a cornerstone of modern medical imaging, effective governance is no longer optional—it’s mission-critical. This session dives into the core elements of enterprise AI governance, including bias mitigation, safety oversight, and transparency across clinical workflows. Through real-world examples and expert insights, you’ll learn how to build and sustain a governance model that balances innovation with responsibility. 

Speakers will outline practical approaches to forming multidisciplinary oversight teams, crafting internal policies, and aligning with evolving regulatory and ethical standards. Whether you’re launching your first AI project or scaling across departments, you’ll gain actionable tools for managing AI safely and effectively in imaging environments.  

Objectives 

  • Identify the foundational elements of an enterprise AI governance model tailored for medical imaging. 
  • Differentiate between regulatory, institutional, and ethical responsibilities in the deployment of AI tools. 
  • Implement practical strategies to oversee, evaluate, and adapt the use of AI in clinical imaging workflows. 

Resources     

CE Credit   

The Society for Imaging Informatics in Medicine 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.    

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DATE

Sep 30, 2025

Time

1:00 pm - 2:00 pm (ET)

Credit Amount

1.0

Credit Type

IIP

Non-Member Cost

$30

Member Cost

$0

Delivery Type

  • Virtual-Live

Audience Type

  • Clinician
  • Developer
  • Imaging IT
  • Student Member in Training (SMIT)
  • Trainees
  • Vendor

Fernando U. Kay, MD, PhD

Professor of Radiology

University of Texas Anderson Cancer Center

Brett Moran, MD

Chief Health Officer

Parkland Health

James Gaston, MBA

VP Enterprise Data & Chief Data Officer

Parkland Health & Hospital System

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