AJR Live Webinars feature leading experts discussing some of AJR’s most controversial, cutting-edge articles—broadcasted each month live, online, with CME.

Miss a broadcast? You can still watch Past AJR Live Webinars and earn credit.

The AJR Live Webinar Series was made possible in part by an unrestricted educational grant from Siemens Healthcare.

Upcoming Webinars

Mergers, Acquisitions, and Harmonization in Radiology Practices

Wednesday, November 20, 2019

Broadcasted Live and Online 12:00 noon–1:00 pm, Eastern Time 
Moderator: Howard Forman
Speaker: Michael A. Bruno, Hani H. Abujudeh

This AJR Live Webinar offers 1 CME Credit.

ARRS Member Price: $0

ARRS In-Training Member Price: $0 
Nonmember Price: $99
Registration Deadline: Tuesday November 19, 2019

REGISTER NOW

This webinar will provide a candid discussion of the challenges and opportunities of integrating multiple radiology practices under one employer.

Learning Outcomes

After attending this session, participants will be able to:

  • Articulate the management, economic, finance, policy, and legal aspects of M&A in radiology

How to Understand What Radiology AI Sees: Saliency Maps, Class Activation Maps, and Saliency Class Activation Maps

Wednesday, December 18, 2019

Broadcasted Live and Online 12:00 noon–1:00 pm, Eastern Time 
Moderator: Thomas Berquist
Speaker: Kenneth Philbrick and Bradley Erickson

This AJR Live Webinar offers 1 CME Credit.

ARRS Member Price: $0

ARRS In-Training Member Price: $0 
Nonmember Price: $99

REGISTER NOW

Deep learning tools are being widely described and applied, though usually with poor demonstration of the imaging basis for decision-making. Some published results are already known to be invalid because the AI tool used irrelevant features to make key decisions. Explainable AI can help to avoid such errors.

This AJR Live Webinar will describe the need and methods for understanding and extracting the imaging features utilized by predictive deep learning systems. Critical for gaining confidence in decision-making AI tools, this process also provides important insights into the biology of a disease and its imaging aspects that were previously unappreciated.

Learning Outcomes

After attending this session, participants will be able to:

  • Articulate various extraction components of images used for decision-making.
  • Explain how deep learning methods are not necessarily “black boxes.”

The American Roentgen Ray Society (ARRS) is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education activities for physicians.

The ARRS designates this live activity for a maximum of 1.00 AMA PRA Category 1 Credit(s). Physicians should claim only the credit commensurate with the extent of their participation in the activity.