Deep Learning and Artificial Intelligence in Radiology: A Reality Check Friday, May 11, 2018 - Tuesday, March 31, 2020    CME Provider: ICPME › Linda McLean 33 Thornwood Drive Suite 400 Ithaca, New York (NY) 14850 United States   Phone: 607-257-5860 Fax: 607-257-5891   Visit the CME Provider Webpage ›   Description: This recorded lecture will discuss both machine learning and deep learning and how they differ from traditional programming models; current IT infrastructure challenges that will need addressing in preparation for seamless and effective integration of a service-oriented architecture; and what the speaker believes will be the true benefits of deep learning applications for Radiology: optimizing workflow to eliminate the “busy work” that adds to variability, burnout, and inefficiency.   Visit the CME Course Webpage ›     Instructors: Paul J. Chang, MD, FSIIM     CME Credit: Radiologic Technologists:  1.0 Hours Self Assessment Module (SAM):  No Specialty Audience: Radiology     RADLIST Course #18916