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科学流动如何助力当前及未来的放射学研究:一名放射科住院医师的视角

How scientific mobility can help current and future radiology research: a radiology trainee's perspective.

作者信息

Pesapane Filippo

机构信息

Postgraduate School in Radiodiagnostics, Università degli Studi di Milano, Via Festa del Perdono 7, 20122, Milan, Italy.

出版信息

Insights Imaging. 2019 Aug 27;10(1):85. doi: 10.1186/s13244-019-0773-z.

DOI:10.1186/s13244-019-0773-z
PMID:31456090
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6712195/
Abstract

One of the ways in which modern radiology is manifesting itself in higher education and research is through the increasing importance of scientific mobility. This article seeks to provide an overview and a prospective of radiology fellows in their last year of training about the current trends and policy tools for promoting mobility among young radiologists, especially inside the European Union. Nowadays, the need to promote international cooperation is even greater to ensure that the best evidence-based medical practices become a common background of a next cross-border generation of radiologists. Organisations such as the European Society of Radiology (ESR) and the Radiological Society of North America (RSNA) are called upon to play as guarantors of the training of young radiologists building know-how and world-class excellence. Today, it is not just being certified radiologist that matters, the place where the training was done plays an important role in enhancing chances when applying for a high-level job or fellowship. The article argues that the mobility of radiology trainees is an indispensable prerequisite to face new challenges, including the application of artificial intelligence to medical imaging, which will require a large multicentre collaboration.

摘要

现代放射学在高等教育和研究中的一种体现方式是通过科学流动的重要性日益增加。本文旨在概述并展望处于培训最后一年的放射科住院医师,介绍促进年轻放射科医生流动的当前趋势和政策工具,特别是在欧盟内部。如今,促进国际合作的需求甚至更大,以确保最佳的循证医学实践成为下一代跨境放射科医生的共同背景。诸如欧洲放射学会(ESR)和北美放射学会(RSNA)等组织被要求作为年轻放射科医生培训的保障者,积累专业知识并打造世界级卓越水平。如今,重要的不仅仅是成为一名获得认证的放射科医生,培训地点在申请高级职位或奖学金时提升机会方面起着重要作用。文章认为,放射科实习生的流动是应对新挑战(包括将人工智能应用于医学成像,这将需要大型多中心合作)的不可或缺的先决条件。

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