Two RSNA Journals Accepting Submissions for Special Issues

Radiology: Imaging Cancer and Radiology: Artificial Intelligence planning topic-specific special issues

Radiology: Imaging Cancer Accepting Submissions for Special Collection

Submissions are being accepted for Radiology: Imaging Cancer’s Special Collection on Preclinical and Translational Cancer Imaging. Submissions for the special collection are due July 1. 

The special collection seeks submissions on the use of animal and phantom models for evaluating the safety and efficacy of new imaging tracers, assessment of new imaging modalities and techniques and other exciting developments in cancer imaging.

The collection’s guest editor, Luke Wilkins, MD, is an assistant professor of radiology and medical imaging at UVA Health, Charlottesville, VA.

Visit for more information and submission details.


Radiology: Artificial Intelligence Accepting Submissions for a Special Issue

Submissions are being accepted for Radiology: Artificial Intelligence’s special issue on Radiology AI in Practice, that will be published in January 2022. Submissions close June 15.

The special issue is accepting “AI in Brief” manuscripts that focus on the rigorous evaluation of an AI system in clinical practice. Submissions should be up to 1,500 words.

Manuscripts will undergo a competitive peer-review process. Those works accepted for publication will be made available online soon after acceptance as “Just Accepted” manuscripts before appearing in the journal’s special issue.

The special issue’s guest editors are: John Mongan, MD, PhD, associate chair, Translational Informatics and associate professor of clinical radiology at the University of California, San Francisco. Dr. Mongan chairs RSNA’s Machine Learning Steering Committee and is an associate editor of Radiology: Artificial Intelligence; Achala Vagal, MD, MS, vice chair for Research and professor in the Department of Radiology at the University of Cincinnati College of Medicine. Dr. Vagal chairs the Neurologic/Head and Neck Imaging Section for RadioGraphics; and Carol C. Wu, MD, professor, Department of Thoracic Imaging at the University of Texas MD Anderson Cancer Center. Dr. Wu chairs the Society of Thoracic Radiology’s Big Data Committee.

Visit for more information and submission details.