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.
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
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.
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.
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.