RSNA Announces Radiology: Artificial Intelligence Trainee Editorial Board Members

Board members will participate in a variety of publishing activities for the journal

Radiology: Artificial Intelligence, RSNA’s online journal highlighting the emerging applications of machine learning and artificial intelligence (AI) in the field of imaging, announced the members of its Trainee Editorial Board (TEB).

During their two-year term, TEB members will learn about peer review, biostatistics, research design and journalistic ethics, while reviewing up to six manuscripts each year.  TEB members will also participate in the standard Radiology: Artificial Intelligence review process and have the opportunity to contribute to the journal’s activities, such as the editor’s blog, social media, or journal club. Members will also be invited to participate in the Editorial Board meeting during the RSNA Annual Meeting and in quarterly teleconferences with the Radiology: Artificial Intelligence Editor, Charles E. Kahn Jr., MD, MS.

The Trainee Editorial Board members are:

Aaron Abajian, MD, MS, Seattle, WA

Niha Beig, MS, Cleveland, OH

Charlotte Chung, MD, PhD, Atlanta, GA

Hesham Elhalawani, MD, MSc, Cleveland, OH

Shinjini Kundu, MD, PhD, MS, Baltimore, MD

Matthew Li, MD, Boston, MA

Kirti Magudia, MD PhD, San Francisco, CA

Andreas Rauschecker, MD, PhD, MSc, San Francisco, CA

Jeffrey Rudie, MD, PhD, San Francisco, CA

Jelmer Wolterink, PhD, Amsterdam, The Netherlands

Paul Yi, MD, Baltimore, MD

John Zech, MD, MA, New York, NY

For More Information

Access the current issue of Radiology: Artificial Intelligence.