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Faculty

Cameron Hassani

Department of Radiology
Keck Hospital
University of Southern California
Los Angeles, CA

Bino A. Varghese

Department of Radiology
Keck Hospital
University of Southern California
Los Angeles, CA

Jorge Nieva

Department of Oncology
University of Southern California Norris Cancer Center
Los Angeles, CA

Vinay Duddalwar

Department of Radiology
Keck Hospital
University of Southern California
Los Angeles, CA

Accredited by

American Roentgen Ray Society

Course Description

After completing the material in this article, the learner should be able to:
1. Define radiomics as it pertains to lung nodule imaging;
2. List three potential applications of radiomics; and
3. Describe how machine learning can make incorporation of radiomics into routine clinical practice possible.

Activity Details

Credit Types:CME
Credit Amount:1.00 Credits
Release Date:2019-Feb-22
Expiration Date:2022-Feb-21
Estimated Time for Completion:1 hour
Registration Required:Yes
Cost:$0-$40

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