Resident Education in the Age of AI.

IF 1 4区 医学 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Erin Gomez, Cheng Ting Lin
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引用次数: 0

Abstract

Abstract: 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.

人工智能时代的居民教育。
摘要:人工智能(AI)是放射科医生感兴趣的一个迅速发展的领域,因为它可以作为检测和报告疾病的辅助工具,并对放射科医生的角色及其实践产生潜在影响。作为放射学教育工作者,我们负责开发和提供课程元素,使住院医生成为人工智能资源的良好管家,同时也获得日常实践中必不可少的基本知识和技能。住院医师项目应该考虑合作方法,并在开发和管理人工智能课程时寻求国家协会的支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.50
自引率
0.00%
发文量
230
审稿时长
4-8 weeks
期刊介绍: The mission of Journal of Computer Assisted Tomography is to showcase the latest clinical and research developments in CT, MR, and closely related diagnostic techniques. We encourage submission of both original research and review articles that have immediate or promissory clinical applications. Topics of special interest include: 1) functional MR and CT of the brain and body; 2) advanced/innovative MRI techniques (diffusion, perfusion, rapid scanning); and 3) advanced/innovative CT techniques (perfusion, multi-energy, dose-reduction, and processing).
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