How it Started vs. How it's Going: AI Early Adopters Discuss how the Technology has Changed Practice

More than 500 AI and machine learning algorithms are currently approved for medical use, which represents a staggering 940% increase in FDA clearances since November 2019.

At the forefront of this swift growth are clinical AI early adopters, many of whom reside in Radiology Departments. What has been the experience for these trailblazers as new solutions and capabilities continue to evolve?

Join clinical leaders from University of Rochester Medical Center and Einstein Healthcare Network – Jefferson Health as they walk attendees through the clinical AI journey at their respective facilities. Learn how AI adoption first started, how it has changed since initial implementation and future use cases they see on the horizon.


  • Axel Wismueller, MD, PhD, Director, Artificial Intelligence in Radiology Laboratory, Department of Imaging Sciences and Department of Biomedical Engineering, University of Rochester Medical Center
  • Ryan K. Lee, MD, MBA, Chair, Department of Diagnostic Radiology, Einstein Healthcare Network – Jefferson Health
  • Demetri Giannikopoulos, VP Innovation, Aidoc

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