This webinar will provide practical tips for the implementation of AI models in clinic practice. Specifically, we will address the roadmap to AI governance and rubrics for model approval and will provide an overview of the steps required for robust model implementation, including shadow-mode and canary implementation.
In the second part of the webinar, we will provide an overview of the current regulatory landscape governing AI models and discuss some of the legal implications. We will also discuss the current FDA approval process.
Objectives
- Provide practical tips for AI model implementation in clinic practice
- Summarize AI governance models
- Provide an overview of the regulatory landscape for AI model implementation
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!
- FREE live & on-demand webinars
- Unlimited CE learning opportunities at no extra cost
- Discounted conferences and training
- Complimentary Journal of Imaging Informatics in Medicine
Bernardo Bizzo, MD
Dania Daye, MD, PhD
Webinar
Elevating Imaging-Related FHIR Resources to First Class Status
Data elements included for Diagnostic Imaging in USCDI (United States Core Data for Interoperability) versions have been limited to the…
Webinar
Building, Processing, and Governing Clinical Imaging Datasets: Foundations for AI
This final session in the series will discuss extracting structured and unstructured data from EHR systems, retrieving DICOM metadata and images from PACS, linking imaging to outcomes…
Webinar
The Imaging Lifecycle: Workflow, Bottlenecks, and Safety
Session 3 will explore the imaging lifecycle as a safety-critical workflow through a practical, discussion-driven lens. This conversation is geared toward undifferentiated medical students, trainees, and residents who want to better understand imaging informatics and its impact on clinical care.