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海军军医大学附属长征医院麻醉科,上海 200003
李永华,Email:liyonghua1207@126.com
纸质出版日期:2023-09-20,
收稿日期:2021-07-11,
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傅海龙, 蒋鑫, 王启龙, 等. 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.
Fu Hailong, Jiang Xin, Wang Qilong, et al. Current status of the application of artificial intelligence in clinical anesthesia teaching[J]. Chinese Journal of Medical Education Research, 2023,22(9):1295-1298.
傅海龙, 蒋鑫, 王启龙, 等. 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. DOI: 10.3760/cma.j.cn116021.
Fu Hailong, Jiang Xin, Wang Qilong, et al. Current status of the application of artificial intelligence in clinical anesthesia teaching[J]. Chinese Journal of Medical Education Research, 2023,22(9):1295-1298. DOI: 10.3760/cma.j.cn116021⁃20210711⁃01405.
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。
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.
麻醉人工智能大数据临床教学
AnesthesiaArtificial intelligenceBig dataClinical teaching
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