人工智能在医学教育中的应用：现状与未来展望
Application of Artificial Intelligence in Medical Education: Current Scenario and Future Perspectives.
作者信息
Mir Mohammad Muzaffar, Mir Gulzar Muzaffar, Raina Nadeem Tufail, Mir Saba Muzaffar, Mir Sadaf Muzaffar, Miskeen Elhadi, Alharthi Muffarah Hamid, Alamri Mohannad Mohammad S
机构信息
Department of Basic Medical Sciences, College of Medicine, University of Bisha, Bisha, 61922, Kingdom of Saudi Arabia.
Department of Psychiatry, SKIMS Medical College, Bemina, Srinagar, 190018, J and K, India.
出版信息
J Adv Med Educ Prof. 2023 Jul;11(3):133-140. doi: 10.30476/JAMP.2023.98655.1803.
INTRODUCTION
Medical education is a lifetime learning process stretching from undergraduate to postgraduate, specialty training, and beyond. It also applies to various healthcare professionals, including doctors, nurses, and other allied healthcare professionals. Therefore, it is essential to acknowledge the immense role of artificial intelligence in medical education in the current era of rapidly growing technology.
METHODS
High-quality data that met the study objectives were included. In addition, comprehensive investigations on articles available in reputable databases such as PubMed, Research Gate, PubMed central, Web of Science, and Google Scholar were considered for literature review.
RESULTS
Artificial intelligence has fixed various issues in education during the last decade, including language processing, reasoning, planning, and cognitive modelling.
CONCLUSION
It can be used in medical education in the following forms: Virtual Inquiry System, Medical Distance Learning and Management, and Recording teaching videos in medical schools. It can also enhance the value of the non-analytical humanistic aspects of medicine. The goal of this review article was to present the implications of AI in medical education, now and in the coming years.
引言
医学教育是一个贯穿本科到研究生、专科培训及以后的终身学习过程。它也适用于包括医生、护士和其他相关医疗专业人员在内的各类医疗保健专业人员。因此，在当前技术快速发展的时代，认识到人工智能在医学教育中的巨大作用至关重要。
方法
纳入符合研究目标的高质量数据。此外，还考虑对PubMed、Research Gate、PubMed Central、科学网和谷歌学术等知名数据库中可用的文章进行全面调查，以进行文献综述。
结果
在过去十年中，人工智能解决了教育中的各种问题，包括语言处理、推理、规划和认知建模。
结论
它可用于医学教育的以下形式：虚拟探究系统、医学远程学习与管理以及医学院校教学视频录制。它还可以提升医学非分析性人文方面的价值。这篇综述文章的目的是阐述人工智能在当前及未来几年对医学教育的影响。
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