Gomez Erin, Lin Cheng Ting
Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD.
J Comput Assist Tomogr. 2025;49(4):556-558. doi: 10.1097/RCT.0000000000001697. Epub 2024 Nov 29.
Artificial intelligence (AI) is a rapidly expanding field of interest to radiologists for its utility as an adjunct in detecting and reporting disease and its potential influence on the role of radiologists and their practices. As radiology educators, we are responsible for developing and providing access to curricular elements that will prepare residents to be good stewards of artificial intelligence resources while also acquiring fundamental knowledge and skills that are essential to daily practice. Residency programs should consider collaborative approaches as well as solicit support from national societies in the development and curation of their AI curricula.
人工智能（AI）作为辅助检测和报告疾病的工具，以及其对放射科医生及其执业角色的潜在影响，正迅速成为放射科医生感兴趣的一个不断拓展的领域。作为放射学教育工作者，我们有责任开发并提供课程内容，以使住院医师做好准备，成为人工智能资源的优秀管理者，同时掌握日常实践所必需的基础知识和技能。住院医师培训项目在开发和管理其人工智能课程时，应考虑采用协作方式，并寻求国家学会的支持。
