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American Journal of Roentgenology (AJR)



This new member benefit features discussion from leading experts on some of AJR’s most controversial, cutting edge articles—broadcasted live, online, with CME. 

The 2018 AJR Live Webinar Series was made possible in part by an unrestricted educational grant from Siemens Healthcare.

Upcoming Webinars

Deep Learning: A Black Box No More

December 19, 2018

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

This AJR Live Webinar offers 1 CME Credit.

ARRS Member Price: $0

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

Register Now

While AI and Deep Learning have captured much attention, there is a common concern that deep learning is a ‘black box.’ In this webinar, we describe new research showing how the black box can be opened leading to an understanding of deep learning methods.

Read the related AJR article.

Learning Outcomes

After attending this session, participants will be able to:

  • Explain that deep learning methods are not necessarily ‘black boxes’.
  • Describe several different research techniques to extract the salient features of images used by deep learning methods to make their predictions.
  • Identify current challenges with these learning methods.

Machine Learning and Artificial Intelligence: Resource or Replacement for Radiologists?

January 16, 2019

Broadcasted Live and Online 12:00 noon–1:00 pm, Eastern Time
Moderator: James Provenzale, MD
Speakers: Gregory Zaharchuk, MD and Javier Villanueva-Meyer, MD

This AJR Live Webinar offers 1 CME Credit.

ARRS Member Price: $0

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

The fields of artificial intelligence and machine learning are highly discussed topics that will almost certainly have direct applications in radiology within the next few years. Many radiologists are concerned about how artificial intelligence and machine learning may affect their daily life. In particular, some radiologists fear that these disciplines will diminish the need for a human to interpret imaging studies. This webinar will address that issue and many others of interest to the radiologist in clinical practice.

This webinar will examine the use of artificial intelligence and machine learning as applied to Neuroradiology. However, the topic is not specific to Neuroradiology. Because machine learning is a technique that is applicable to all areas of Radiology, radiologists in all disciplines will benefit from the presentation.

Learning Outcomes

After attending this session, participants will be able to:

  • Better understand the basic principles of machine learning and artificial intelligence.
  • Better comprehend the ways in which these fields may influence their workplace.

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.