Machine Learning for the Interventional Radiologist


The AJR Lecture Series brings presentations on the most important AJR articles to your desktop, available for viewing at home or office and on your schedule. This Lecture has an estimated time to complete the activity of 1 hour.


Target Audience:
The target audience for this activity is radiologists at all training levels with an interest in machine learning in interventional radiology.

Goals and Objectives:
After completing the material in this article, the learner should be able to:
  1. Describe the basics elements of machine learning;
  2. Describe how the basic elements of machine learning can be applied to interventional radiology; and
  3. Discuss ways to get involved in this rapidly changing facet of radiology.


Disclosure of Commercial Interest:
  • J. A. Kaufman has nothing to disclose.
  • R. Meek has nothing to disclose.
  • M. Lungren is an advisor for Nines.ai, Segmed, and BunkerHill.
  • J. Gichoya serves on the American College of Radiology Artificial Intelligence Advisory Council and is an Associate Editor for the Radiological Society of North America Radiology Artificial Intelligence Editorial Board.


Member Price:
Free
NonMember Price:
$250.00

Accreditation Statement
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.

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

The American Medical Association has determined that physicians not licensed in the US who participate in this CME activity are eligible for AMA PRA Category 1 Credit(s)™.

The American Roentgen Ray Society (ARRS) is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians. The ARRS designates this enduring activity for a maximum of 1 AMA PRA Category 1 Credit(s)™ and 1 American Board of Radiology©, MOC Part II, Self-Assessment CME (SA-CME.) Physicians should claim only the credit commensurate with the extent of their participation in the activity.



Date of issuance: October 17, 2019
Date of expiration: October 16, 2022
Estimated time to complete the activity: 1 hour(s)