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迈向增强型放射科医生:机器学习和人工智能时代的放射学教育变革。

Toward Augmented Radiologists: Changes in Radiology Education in the Era of Machine Learning and Artificial Intelligence.

机构信息

Department of Radiology, Massachusetts General Hospital, 55 Fruit St, Boston, MA 02114; Harvard Medical School, Boston, Massachusetts.

Department of Radiology, Massachusetts General Hospital, 55 Fruit St, Boston, MA 02114; Harvard Medical School, Boston, Massachusetts; MGH/BWH Center for Clinical Data Sciences, Boston, Massachusetts.

出版信息

Acad Radiol. 2018 Jun;25(6):747-750. doi: 10.1016/j.acra.2018.03.007. Epub 2018 Mar 26.

DOI:10.1016/j.acra.2018.03.007
PMID:29599010
Abstract

Radiology practice will be altered by the coming of artificial intelligence, and the process of learning in radiology will be similarly affected. In the short term, radiologists will need to understand the first wave of artificially intelligent tools, how they can help them improve their practice, and be able to effectively supervise their use. Radiology training programs will need to develop curricula to help trainees acquire the knowledge to carry out this new supervisory duty of radiologists. In the longer term, artificially intelligent software assistants could have a transformative effect on the training of residents and fellows, and offer new opportunities to bring learning into the ongoing practice of attending radiologists.

摘要

人工智能的到来将改变放射科的实践方式,放射科的学习过程也将受到类似的影响。在短期内,放射科医生需要了解人工智能工具的第一波浪潮,了解它们如何帮助他们改进实践,并能够有效地监督其使用。放射科培训计划需要制定课程,帮助学员获得履行放射科医生这一新监督职责的知识。从长远来看,人工智能软件助手可能会对住院医师和研究员的培训产生变革性影响,并为将学习带入在职放射科医生的实践中提供新的机会。

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