The Radiology: Artificial Intelligence Trainee Editorial Board: Initial Experience and Future Directions

被引:2
作者
Staziaki, Pedro, V [1 ]
Yi, Paul H. [2 ]
Li, Matthew D. [1 ]
Daye, Dania [1 ]
Kahn, Charles E. [3 ]
Gichoya, Judy W. [4 ]
机构
[1] Harvard Med Sch, Massachusetts Gen Hosp, Dept Radiol, 55 Fruit St, Boston, MA 02114 USA
[2] Univ Maryland, Dept Radiol & Nucl Med, Sch Med, Baltimore, MD USA
[3] Univ Penn, Dept Radiol, Philadelphia, PA USA
[4] Emory Univ, Dept Radiol, Atlanta, GA USA
关键词
Artificial Intelligence; Education; Medical; Research; FELLOWSHIP; TWITTER;
D O I
10.1016/j.acra.2022.04.010
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
In 2019, the journal Radiology: Artificial Intelligence introduced its Trainee Editorial Board (TEB) to offer formal training in medical journal-ism to medical students, radiology residents and fellows, and research-career trainees. The TEB aims to build a community of radiologists, radiation oncologists, medical physicists, and researchers in fields related to artificial intelligence (AI) in radiology. The program presented opportunities to learn about the editorial process, improve skills in writing and reviewing, advance the field of AI in radiology, and help translate and disseminate AI research. To meet these goals, TEB members contribute actively to the editorial process from peer review to publication, participate in educational webinars, and create and curate content in a variety of forms. Almost all of the contact has been mediated through the web. In this article, we share initial experiences and identify future directions and opportunities.
引用
收藏
页码:1899 / 1902
页数:4
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