Experimental Teaching System of Human Physiology and Artificial Intelligence Application in Basic Medical Education

Nan Zhou, Xin Li, Dexiu Wang, Chengwen Jin, Weihao Wang, Xiaodong Cui
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Abstract

Presently, animal experimentation is a main teaching tool in basic medical education. Animal experiments can improve medical students' knowledge and its application with practical operation ability. However, based on the premise of the 3R principle, more scholars believe that animal experiments do not meet the needs of medical education and so need to be improved. With the current emergence of big data applications in artificial intelligence (AI) and computer science and technology, human physiological experiments are gradually replacing animal experiments. Although human experiments have drawbacks such as limiting their application in basic medical education. However, the data derived from computer and intelligent tool technology, are more intuitive and widely used than animal experiments. Combined with the application of AI, human computer experiments are gradually replacing animal experiments in medical practice and teaching. We discussed the principles and applications of human physiology in medical education combined with the experience in basic medical teaching. The discussion provided a reference value for medical basic education, especially the new teaching model of basic medical science using artificial intelligence computer simulation.
人体生理学与人工智能在基础医学教育中的应用实验教学体系
目前,动物实验是基础医学教育的主要教学手段。动物实验可以提高医学生的知识和实际操作能力。然而,在3R原则的前提下,更多的学者认为动物实验不符合医学教育的需要,需要改进。随着当前人工智能(AI)和计算机科学技术领域大数据应用的兴起,人体生理实验正在逐步取代动物实验。尽管人体实验存在缺陷,如限制其在基础医学教育中的应用。然而,从计算机和智能工具技术中获得的数据,比动物实验更直观,应用更广泛。结合人工智能的应用,人机实验在医学实践和教学中逐渐取代动物实验。结合基础医学教学经验,探讨人体生理学原理及其在医学教育中的应用。对医学基础教育,特别是基于人工智能计算机仿真的基础医学新教学模式具有一定的参考价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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