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本文引用的文献

1
Artificial Intelligence: Has Its Time Come for Inclusion in Medical School Education? Maybe…Maybe Not.人工智能：将其纳入医学院教育的时机到了吗？也许……也许没有。
MedEdPublish (2016). 2021 Sep 3;10:131. doi: 10.15694/mep.2021.000131.2. eCollection 2021.
2
Machine learning in medical education: a survey of the experiences and opinions of medical students in Ireland.医学教育中的机器学习：爱尔兰医学生的经验与观点调查
BMJ Health Care Inform. 2022 Feb;29(1). doi: 10.1136/bmjhci-2021-100480.
3
Systematic Review of Radiologist and Medical Student Attitudes on the Role and Impact of AI in Radiology.系统评价放射科医生和医学生对人工智能在放射学中的作用和影响的态度。
Acad Radiol. 2022 Nov;29(11):1748-1756. doi: 10.1016/j.acra.2021.12.032. Epub 2022 Jan 31.
4
Integrating Al Algorithms into the Clinical Workflow.将人工智能算法整合到临床工作流程中。
Radiol Artif Intell. 2021 Aug 4;3(6):e210013. doi: 10.1148/ryai.2021210013. eCollection 2021 Nov.
5
AI Integration in the Clinical Workflow.人工智能在临床工作流程中的整合。
J Digit Imaging. 2021 Dec;34(6):1435-1446. doi: 10.1007/s10278-021-00525-3. Epub 2021 Oct 22.
6
Impact of artificial intelligence on US medical students' choice of radiology.人工智能对美国医学生选择放射科的影响。
Clin Imaging. 2022 Jan;81:67-71. doi: 10.1016/j.clinimag.2021.09.018. Epub 2021 Oct 2.
7
Artificial Intelligence in Medical Education.医学教育中的人工智能
Acad Med. 2021 Sep 1;96(9):1229-1230. doi: 10.1097/ACM.0000000000004183.
8
Artificial Intelligence in Undergraduate Medical Education: A Scoping Review.人工智能在本科医学教育中的应用：范围综述。
Acad Med. 2021 Nov 1;96(11S):S62-S70. doi: 10.1097/ACM.0000000000004291.
9
How does artificial intelligence in radiology improve efficiency and health outcomes?人工智能在放射学中如何提高效率和改善健康结果？
Pediatr Radiol. 2022 Oct;52(11):2087-2093. doi: 10.1007/s00247-021-05114-8. Epub 2021 Jun 12.
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Will Artificial Intelligence Replace Radiologists?人工智能会取代放射科医生吗？
Radiol Artif Intell. 2019 May 15;1(3):e190058. doi: 10.1148/ryai.2019190058. eCollection 2019 May.

医学院课程中支持和反对人工智能的案例。

The Cases for and against Artificial Intelligence in the Medical School Curriculum.

作者信息

Ngo Brandon, Nguyen Diep, vanSonnenberg Eric

机构信息

University of Arizona College of Medicine - Phoenix, HSEB C536, 475 N 5th St, Phoenix, AZ 85004.

出版信息

Radiol Artif Intell. 2022 Aug 17;4(5):e220074. doi: 10.1148/ryai.220074. eCollection 2022 Sep.

DOI:10.1148/ryai.220074
PMID:36204540
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9530767/
Abstract

Although artificial intelligence (AI) has immense potential to shape the future of medicine, its place in undergraduate medical education currently is unclear. Numerous arguments exist both for and against including AI in the medical school curriculum. AI likely will affect all medical specialties, perhaps radiology more so than any other. The purpose of this article is to present a balanced perspective on whether AI should be included officially in the medical school curriculum. After presenting the balanced point-counterpoint arguments, the authors provide a compromise. Artificial Intelligence, Medical Education, Medical School Curriculum, Medical Students, Radiology, Use of AI in Education © RSNA, 2022.

摘要

尽管人工智能（AI）在塑造医学未来方面具有巨大潜力，但其目前在本科医学教育中的地位尚不明朗。对于将AI纳入医学院课程，存在支持和反对的诸多观点。AI可能会影响所有医学专业，或许对放射学的影响比对其他任何专业都更大。本文的目的是就AI是否应正式纳入医学院课程提出一个平衡的观点。在呈现了平衡的正反观点后，作者们提出了一个折衷方案。人工智能、医学教育、医学院课程、医学生、放射学、AI在教育中的应用 ©RSNA，2022年。