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.
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。
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