What should medical students know about artificial intelligence in medicine?

被引:47
作者
Park, Seong Ho [1 ,2 ]
Do, Kyung-Hyun [1 ,2 ]
Kim, Sungwon [3 ,4 ]
Park, Joo Hyun [5 ]
Lim, Young-Suk [6 ]
机构
[1] Univ Ulsan, Coll Med, Dept Radiol, Seoul, South Korea
[2] Univ Ulsan, Coll Med, Res Inst Radiol, Asan Med Ctr, Seoul, South Korea
[3] Yonsei Univ, Coll Med, Severance Hosp, Dept Radiol,Res Inst Radiol Sci, Seoul, South Korea
[4] Yonsei Univ, Coll Med, Severance Hosp, Ctr Clin Image Data Sci, Seoul, South Korea
[5] Univ Ulsan, Dept Med Educ, Coll Med, Seoul, South Korea
[6] Univ Ulsan, Asan Med Ctr, Coll Med, Dept Gastroenterol, Seoul, South Korea
来源
JOURNAL OF EDUCATIONAL EVALUATION FOR HEALTH PROFESSIONS | 2019年 / 16卷
关键词
Artificial intelligence; Machine learning; Deep learning; Medical students; PERFORMANCE;
D O I
10.3352/jeehp.2019.16.18
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
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.
引用
收藏
页数:6
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