Join us for an engaging and forward-thinking webinar that explores how cutting-edge technology is transforming radiology education. This expert panel of educators and innovators will showcase real-world applications of artificial intelligence, machine learning, and emerging technologies that enhance learning experiences for trainees and faculty. Attendees will gain valuable insights into how technological advancements are reshaping educational strategies, driving engagement, and improving outcomes. Whether you are a clinician, developer, imaging IT specialist, researcher, trainee, or vendor, this session will inspire you to think outside the box and embrace innovation in radiology education.  

Objectives

  • Identify a wide variety of technological tools that can be integrated into radiology education to enhance learning and training. 
  • Analyze real-world examples of innovative educational approaches that have successfully improved radiology training and knowledge retention. 
  • Inspire participants to adopt and implement creative, technology-driven educational strategies in their own institutions or practices. 

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

Mar 26, 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

  • On-Demand

Audience Type

  • Clinician
  • Developer
  • Imaging IT
  • Researcher/Scientist
  • Trainees
  • Vendor

Richard Wiggins, MD

Associate Dean

University of Utah

Grace G. Zhu, MD

Assistant Professor

University of Utah

Nick Koontz, MD

Senior Associate Consultant, Associate Professor

Mayo Clinic Arizona

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