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

Acad Radiol. 2022 Dec;29(12):1899-1902. doi: 10.1016/j.acra.2022.04.010. Epub 2022 May 21.

Abstract

In 2019, the journal Radiology: Artificial Intelligence introduced its Trainee Editorial Board (TEB) to offer formal training in medical journalism 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.

Keywords: Artificial Intelligence; Education, Medical; Research.

MeSH terms

  • Artificial Intelligence
  • Humans
  • Radiography
  • Radiologists
  • Radiology* / education
  • Students, Medical*