To help you keep up with state-of-the-art technology, RSNA presents AI Webinars. This series of three, 60-minute sessions focuses on artificial intelligence and machine learning.

Designed for radiologists from all practice settings in mind, the series begins with a broad introduction to artificial intelligence and machine learning. Later courses will discuss the current state and future perspectives of the technology for radiology professionals.

Costs: Member: $35; Non-member: $50

On demand

View the webinars on demand starting one month after the live event. SA-CME credit is available.

Intro to AI and Machine Learning: Why All the Buzz?

Moderator and speaker: Dr. Curt Langlotz
Additional speaker: Dr. Matthew Lungren

At the conclusion of the course learners will be able to:

  • Understand the origins of artificial intelligence and machine learning and their application to medical imaging
  • Predict how artificial intelligence will change the practice of radiology using current examples
  • Assess the shortcomings of artificial intelligence that may limit its applicability


Current State and Future Perspectives of AI

Moderator: Dr. Paul Chang
Additional Speaker: Dr. Luciano Prevedello and Mr. Abdul Halabi

At the conclusion of the course learners will be able to:

  • Describe how a realistic deep learning and artificial intelligence perspective can add value to radiology.
  • Identify the significant challenges with respect to practical implementation of deep learning/artificial intelligence offerings by existing radiology workflow and existing information technology infrastructure.
  • List strategies for preparing the radiology department and IT for deep learning/artificial intelligence.
  • Analyze specific examples of AI that have been implemented into clinical practice and training.
  • Describe the role and responsibility of various AI technology vendors that are working with radiologists on implementation.


Future Applications of AI

Moderator: Dr. Adam Flanders
Additional speakers:
Dr. Charles E. Kahn, Dr. Marc Kohli and Dr. J.R. Geis

At the conclusion of the course learners will be able to:

  • Outline resources that are available for ongoing learning as it relates to the field of AI research and the practical application of AI.
  • Describe future applications of AI and how radiologists can play a critical role in implementing AI into daily practice.
  • Describe the ways other than "computer vision" where AI can be used to improve radiology practice.
  • Outline tactics on how to prepare future radiologists of this change in practice.