Foundational Certificate Curriculum

The RSNA Imaging AI Certificate Program offers individual certificate courses that equip you with the AI knowledge, experience and skills you need to meet today’s challenges in medical imaging.

Updated Curriculum — Rolling Out Now

The Foundational Certificate’s curriculum has been refreshed to reflect a new reality: AI is now part of everyday radiology practice. The Foundational Certificate Version 2.0 now features all new clinical use cases and actionable insights you can integrate directly into your diagnostic workflows.

Module 1 is available now! Five additional modules will be released monthly, together preparing you to influence how AI is implemented and governed across your department.

The Foundational Certificate course is now offered with improved pricing to better fit your budget.
Visit the pricing page to explore enrollment details.

Foundational Certificate Course Outcomes and Learning Objectives

Upon completion of the six-module curriculum, students will earn the Foundational Certificate, recognizing their understanding of AI-based tools for medical imaging and their ability to safely evaluate, deploy, monitor and use AI algorithms within their practice.

Learning Objectives:

  • Prepare radiologists, physicists, data scientists and clinical researchers to safely evaluate, implement, use and monitor performance of AI-based tools for medical imaging.
  • Deliver coordinated and comprehensive AI education that prepares radiologists to evaluate and use AI algorithms for clinical practice.
  • Demonstrate the steps and process of AI algorithm development.
  • Provide participants the ability to safely evaluate, deploy, monitor and use AI algorithms within their practice.

Foundational Certificate Course Modules

Each of the six modules allows you to learn at your own pace through a series of short, pre-recorded videos and a variety of hands-on activities that build on concepts established in the previous modules.

In Module 1, you will review the history of ImageNet, machine learning definitions, origins of the field, early uses of AI in radiology, common workflow problems that can be solved using AI and insights from RSNA’s AI Challenges.

Contact Us

Questions? Contact us at customerservice@rsna.org.