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人工智能在临床麻醉教学领域应用现状研究
引用本文:傅海龙,蒋鑫,王启龙,李永华,袁红斌. 人工智能在临床麻醉教学领域应用现状研究[J]. 中华医学教育探索杂志, 2023, 22(9): 1295-1298
作者姓名:傅海龙  蒋鑫  王启龙  李永华  袁红斌
作者单位:海军军医大学附属长征医院麻醉科,上海 200003
基金项目:上海市科委医学创新研究项目(20Y11909500);海军军医大学教学成果立项培育项目(JPY2020A11);国防军事教育学科规划课题(JYKYD2021025);海军军医大学第二附属医院重点教学培育项目(JXPY2021B03)
摘    要:随着互联网技术和大数据的发展,人工智能在麻醉学领域的应用日益广泛。在临床教学领域,人工智能同样也引发教学模式、内容和评价等一系列的创新和变革。本文结合人工智能在麻醉学领域的应用现状,分析人工智能在临床麻醉教学中对教学模式、教学效果评价、教学管理及涉及伦理问题等方面可能产生的影响,为后期人工智能融入临床麻醉教学实践进行理论铺垫和前期探讨。

关 键 词:麻醉  人工智能  大数据  临床教学
收稿时间:2021-07-11
修稿时间:2021-03-09

Current status of the application of artificial intelligence in clinical anesthesia teaching
Fu Hailong,Jiang Xin,Wang Qilong,Li Yonghu,Yuan Hongbin. Current status of the application of artificial intelligence in clinical anesthesia teaching[J]. Chinese Journal of Medical Education Research, 2023, 22(9): 1295-1298
Authors:Fu Hailong  Jiang Xin  Wang Qilong  Li Yonghu  Yuan Hongbin
Affiliation:Department of Anesthesiology, Changzheng Hospital, Navy Medical University, Shanghai 200003, China
Abstract:With the development of Internet technology and big data, artificial intelligence has been widely used in the field of clinical anesthesia. In the field of clinical teaching, artificial intelligence has also led to a series of innovations and changes in teaching model, contents, and evaluation. With reference to the current status of the application of artificial intelligence in the field of anesthesia, this article analyzes the possible impact of artificial intelligence on teaching model, teaching effect evaluation, teaching management, and ethical issues in clinical anesthesia teaching, so as to provide a theoretical basis for integrating artificial intelligence into clinical anesthesia teaching practice in the future.
Keywords:Anesthesia  Artificial intelligence  Big data  Clinical teaching
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