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人工智能赋能法医病理学教学实践探索

Exploration on artificial intelligence empowered teaching in forensic pathology
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摘要 随着人工智能技术的快速发展,其在教育领域的应用日益广泛。文章旨在探讨如何将人工智能技术应用于法医病理学的教学实践中,以提升教学效果和学生的学习体验。首先,分析了法医病理学教学实践中存在的问题,如案例库的构建与更新、实验教学资源的不足、安全培训与监控等。随后,提出了利用人工智能技术解决这些问题的具体方案,主要包括虚拟仿真实验、案例库的建立与更新。文章进一步探讨了当前人工智能技术在教学中可能存在的缺陷。最后,总结了人工智能赋能法医病理学教学实践的探索经验,并对未来发展方向进行了展望。该研究旨在为法医病理学的教学改革提供新的思路和方法,促进人工智能技术与教育教学的深度融合,提升法医病理学人才培养的质量和效果。 With the rapid development of science and technology,artificial intelligence has been increasingly applied in the field of education.This study explores the application of artificial intelligence technology in the teaching of forensic pathology to enhance teaching effect and student learning experience.Firstly,the authors point out the problems in the teaching of forensic pathology,including outdated case libraries,lack of experimental teaching resources,insufficient safety training and monitoring.Subsequently,they propose specific solutions to these problems using artificial intelligence technology,including the introduction of virtual simulation experiments,natural language processing,and updating of case libraries,etc.The authors also discuss the limitations of artificial intelligence technology when applied in teaching.Finally,they summarize the main points of empowering forensic pathology teaching with artificial intelligence and point out future research directions.This paper aims to promote the deep integration of artificial intelligence technology into teaching and improve the quality of talent cultivation in forensic pathology,providing new ideas and methods for the teaching reform in forensic pathology.
作者 张玉向 王振原 阎春霞 ZHANG Yuxiang;WANG Zhenyuan;YAN Chunxia(Department of Forensic Pathology,College of Medicine and Forensics,Xi'an Jiaotong University Health Science Center,Xi'an 710061,China)
出处 《基础医学教育》 2024年第10期871-874,共4页 Basic Medical Education
基金 西安交通大学本科教学改革研究青年基金资助项目(2402Q-38) 西安交通大学医学本科教学改革基金资助项目(2020-54)。
关键词 法医病理学 教学改革 人工智能 虚拟仿真 自然语言处理技术 forensic pathology teaching reform artificial intelligence virtual simulation natural language processing
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