背景(考古学)
关系(数据库)
面子(社会学概念)
比例(比率)
订单(交换)
人工智能应用
医学知识
医学教育
工程伦理学
计算机科学
心理学
人工智能
医学
社会学
工程类
社会科学
古生物学
物理
经济
生物
数据库
量子力学
财务
标识
DOI:10.1080/0142159x.2019.1595557
摘要
Artificial intelligence (AI) is a growing phenomenon, and will soon facilitate wide-scale changes in many professions, including medical education. In order for medical educators to be properly prepared for AI, they will need to have at least a fundamental knowledge of AI in relation to learning and teaching, and the extent to which it will impact on medical education. This Guide begins by introducing the broad concepts of AI by using fairly well-known examples to illustrate AI's implications within the context of education. It then considers the impact of AI on medicine and the implications of this impact for educators trying to educate future doctors. Drawing on these strands, it then identifies AI's direct impact on the methodology and content of medical education, in an attempt to prepare medical educators for the changing demands and opportunities that are about to face them because of AI.
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