This webinar explores the evolving legal implications of AI in medical imaging through a multi-disciplinary lens. Featuring perspectives from academia, clinical practice, and industry, the panel will discuss liability, malpractice trends, and the ethical-legal frameworks shaping human-AI interaction in diagnostic workflows. 

Objectives

  • Identify key legal risks and liability considerations associated with implementing AI in radiology practice. 
  • Analyze how hypothetical legal outcomes change based on whether AI was utilized or ignored in clinical decision-making. 
  • Understand the regulatory and corporate legal challenges of AI deployment beyond the FDA clearance process. 

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.    

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DATE

Apr 27, 2026

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

Michael Bernstein, PhD, MA

Associate Professor of Radiology

The Warren Alpert Medical School of Brown University

Jonathan Mezrich, MD, JD, MBA

Associate Professor of Radiology and Biomedical Imaging

Yale School of Medicine

Gerry Stegmaier, JD

Attorney & Co-Founder

HOPPR

Bardia Khosravi, MD, MPH, MHPE

Radiology Resident

Yale School of Medicine
Moderator

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