Department of Radiology, Harvard Medical School, Massachusetts General Hospital, 55 Fruit St, Boston, MA 02114.
Department of Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, Maryland.
Acad Radiol. 2022 Dec;29(12):1899-1902. doi: 10.1016/j.acra.2022.04.010. Epub 2022 May 21.
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.
2019 年，《放射学：人工智能》杂志（Radiology: Artificial Intelligence）成立了学员编辑委员会（Trainee Editorial Board，TEB），为医学生、放射科住院医师和研究员以及科研职业培训生提供医学新闻方面的正式培训。TEB 的目标是建立一个由放射科医生、肿瘤放射科医生、医学物理学家和人工智能（AI）相关领域的研究人员组成的社区。该计划提供了学习编辑流程、提高写作和评审技能、推进放射科 AI 领域发展以及帮助翻译和传播 AI 研究的机会。为了实现这些目标，TEB 成员从同行评审到出版都积极参与编辑流程，参加教育网络研讨会，并以各种形式创建和管理内容。几乎所有的联系都是通过网络进行的。在本文中，我们分享了初步经验，并确定了未来的方向和机会。
