Park Seong Ho, Do Kyung-Hyun, Kim Sungwon, Park Joo Hyun, Lim Young-Suk
Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Department of Radiology, Research Institute of Radiological Science and Center for Clinical Image Data Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
J Educ Eval Health Prof. 2019;16:18. doi: 10.3352/jeehp.2019.16.18. Epub 2019 Jul 3.
Artificial intelligence (AI) is expected to affect various fields of medicine substantially and has the potential to improve many aspects of healthcare. However, AI has been creating much hype, too. In applying AI technology to patients, medical professionals should be able to resolve any anxiety, confusion, and questions that patients and the public may have. Also, they are responsible for ensuring that AI becomes a technology beneficial for patient care. These make the acquisition of sound knowledge and experience about AI a task of high importance for medical students. Preparing for AI does not merely mean learning information technology such as computer programming. One should acquire sufficient knowledge of basic and clinical medicines, data science, biostatistics, and evidence-based medicine. As a medical student, one should not passively accept stories related to AI in medicine in the media and on the Internet. Medical students should try to develop abilities to distinguish correct information from hype and spin and even capabilities to create thoroughly validated, trustworthy information for patients and the public.
人工智能（AI）有望对医学的各个领域产生重大影响，并有可能改善医疗保健的许多方面。然而，人工智能也引发了诸多炒作。在将人工智能技术应用于患者时，医学专业人员应能够消除患者和公众可能存在的任何焦虑、困惑和疑问。此外，他们有责任确保人工智能成为有益于患者护理的技术。这些使得获取关于人工智能的扎实知识和经验成为医学生的一项极其重要的任务。为人工智能做准备不仅仅意味着学习诸如计算机编程之类的信息技术。一个人应该掌握足够的基础医学、临床医学、数据科学、生物统计学和循证医学知识。作为医学生，不应被动接受媒体和互联网上有关医学人工智能的报道。医学生应努力培养从炒作和歪曲中辨别正确信息的能力，甚至为患者和公众创造经过充分验证、值得信赖的信息的能力。
