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Clinical image-centric specialties increasingly integrate AI-based Intelligent Processing Modules (IPMs) into their traditional workflows. As the number of these IPMs grows and they interact in cascades, influencing clinical decisions and patient care, traditional medical imaging workflows become obsolete. Managing numerous IPMs demands entirely new systems, posing challenges in reliability and scalability. Despite the current lack of attention, the need for medical imaging or clinical medicine Machine Learning Operations positions will likely rise as healthcare leaders recognize their crucial role in safely deploying clinical AI at scale. This conversation-based webinar will focus on the growing need around this topic.


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 for the activity, 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.

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Jan 25, 2024

Credit Amount


Credit Type


Non-Member Cost


Member Cost


Delivery Type

  • On-Demand

Audience Type

  • Imaging IT
  • Physician
  • Physicist
  • Student Member in Training (SMIT)
  • Vendor

Rafaela De Souza Braga


Sylvia Devlin, MS, RT(R)(M)(QM), CIIP, FSIIM


Radiology Partners

Ameena Elahi, MPA, RT(R), CIIP

IS Application Manager

University of Pennsylvania Health System - Penn Medicine

J. Raym Geis, MD, FSIIM

Adjunct Associate Professor of Radiology

National Jewish Health, Denver, CO

Matthew Hayes, MBA, CIIP

Senior PACS Manager

Radiology Partners

Steven Langer, PhD, CIIP, FSIIM


Mayo Foundation

Khaled Younis, PhD

Senior Research Scientist

Philips Healthcare

Dogan Polat, MD


UT Southwestern Medical Center


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