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  • AI Webinars
  •  

    August 29, 2018 | October 25, 2018 | December 11, 2018 | February 21, 2019


    Artificial intelligence holds profound implications for radiologists. But what precisely is it? And, more importantly, what does it mean for your career, your practice, and your patients? To help you keep pace with this cutting-edge technology, RSNA presents a new AI Webinar Series -- four one-hour sessions focused on artificial intelligence.

    Designed with radiologists from all practice settings in mind, the series starts with a broad introduction to the technology, before delving into more intermediate subject matter in later courses, including an examination of where this technology is heading.

    Each of the four 60-minute courses will be available as a live online event and offer time for question-and-answer to the moderator and faculty members.  Or, you can also select to view each webinar on-demand, starting one month after the live event.

    The live webinars offer CME credit and the on-demand versions offer SA-CME credit.

    PRICE:  
    Member: $35
    Non-Member: $50

    Register now for these important courses:

    Intro to AI and Machine Learning: Why All the Buzz? 
    August 29, 2018, 11:00 AM - 12:00 PM CT
    Moderator & 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
    Register Now
    »

    Course registrations opening soon:

     

    Current State and Future Perspectives of AI 
    October 25, 2018, 11:00 AM - 12:00 PM CT
    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 IT 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.

    Registration: Opens August 10

     


     

    Future Applications of AI 
    December 11, 2018, 11:00 AM - 12:00 PM CT
    Moderator: Dr. Adam Flanders
    Additional Speaker: 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.
    • Outline tactics on how to prepare future radiologists of this change in practice.

    Registration: Opens August 24

     


     

    AI: an Ally or an Enemy? A Roundtable Discussion 
    February 21, 2019, 11:00 AM - 12:00 PM CT
    Speakers: Dr. Curt Langlotz, Dr. Paul Chang and Dr. Adam Flanders
    At the conclusion of the course learners will be able to:

    • Describe the strengths and limitations of deep learning for detection and diagnosis in radiology.
    • Explore how the implementation of AI in radiology over the next decade will significantly improve the quality, value, and depth of radiology's contribution to patient care and population health.

    Registration: Opens September 7

     

    If you have questions or need assistance, contact ed-ctr@rsna.org or 1-630-571-2199.