Machine Learning (ML) and Artificial Intelligence (AI) in Radiology Online Course
This online course will focus on the topics of Machine Learning (ML) and Artificial Intelligence (AI) in radiology, including both the fundamental aspects of the topic as well as its current and future clinical applications in radiology. Participants will gain a broad understanding of the topic and will be better able to evaluate and use AI applications in their own practices.
Target Audience:
The target audience for this activity is radiologists, radiologists in-training, and other health professionals with an interest in machine learning and artificial intelligence in radiology.
Goals and Objectives:
After completing the material in this activity, the learner should be able to:
Discuss the basics of Machine Learning and Artificial Intelligence
Explain how AI algorithms can be affected by bias
Recognize the impact of AI systems on clinical reasoning
Evaluate new AI claims and offerings and separate the hype from reality in Radiology AI
Discuss how Radiology AI is being used currently in cardiothoracic imaging
Reference future developments in AI in Radiology
Recognize some ethical considerations in Radiology AI
Disclosure of Commercial Interest:
ARRS staff involved with this activity have nothing to disclose. Below is a listing of activity's contributors and planners’ disclosures:
Planners
Kerry Husk Davis has nothing to disclose.
Jeremiah Long has nothing to disclose.
Courtney Moreno has nothing to disclose.
John Leyendecker has nothing to disclose.
Christopher Neumann has nothing to disclose.
Michael Bruno has nothing to disclose.
Speakers
John Banja has nothing to disclose.
Michael Bruno has nothing to disclose.
Charles Kahn has nothing to disclose.
David Chartash has nothing to disclose
Steven Li has nothing to disclose
Anthony Reeves has nothing to disclose.
Member Price:
$245.00
NonMember Price:
$495.00
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 3.5 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)™.