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


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, radiologists-in-training, and other health professionals with an interest in machine learning in radiology.

Goals and Objectives:
After completing the material in this article, the learner should be able to:
  1. Discuss the basic principles of machine learning and artificial intelligence; and
  2. Discuss the ways in which these fields may influence their workplace.


Disclosure of Commercial Interest:
  • J. Provenzale has nothing to disclose
  • G. Zaharchuk has nothing to disclose
  • J. Villanueva-Meyer has nothing to disclose


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: January 18, 2019
Date of expiration: January 17, 2025
Estimated time to complete the activity: 1 hour(s)