基于人工智能和数字人技术的医学人文教育教学模式的开发与应用

Shuyu Jin, Xiaoyun Zhang, Xin Li, Min Cheng, Xiaodong Cui, Jianming Liu
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引用次数: 0

摘要

医学教育传统上侧重于临床知识和技能。然而,近年来,医学人文教育已被公认为医学培训的重要组成部分,以提高医学生对医学的社会、文化和伦理方面的理解。随着大数据和人工智能(AI)的出现,出现了提高医学教育有效性的新机遇。因此,我们提出了一种新的医学人文教育教学模式,利用人工智能和数字人类技术为医学生提供互动和引人入胜的学习体验。在教育实践的背景下,本研究的主要目的是构建基于大数据的数字模拟器和虚拟仿真实验系统,探索其在实际教学过程中的应用可能性和实际应用效果。在实践中,通过该技术设计了一系列基于器官系统的临床教学案例,并应用于实际医学教学。这些教学模式拓展了医学教学的深度和广度,增强了学习兴趣,有效地实现了教学目标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development and Application of Teaching Model for Medical Humanities Education using Artificial Intelligence and Digital Humans Technologies
Medical education has traditionally focused on clinical knowledge and skills. However, in recent years, medical humanities education has gained recognition as an essential component of medical training to improve medical students' understanding of medicine's social, cultural, and ethical aspects. With the advent of big data and artificial intelligence (AI), new opportunities have emerged to enhance the effectiveness of medical education. Thus, we propose a novel teaching model for medical humanities education that leverages AI and digital human technology to provide an interactive and engaging learning experience for medical students. In the context of educational practice, the primary purpose of this study is to build a digital simulator and virtual simulation experiment system based on big data and to explore the possibility of its application in the actual teaching process and the practical application results. In practice, a series of clinical teaching cases based on organ systems have been designed and applied to actual medical teaching through this technology. These teaching formats extend the depth and scope of medical teaching, enhance learning interest, and effectively achieve teaching objectives.
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