人工智能辅助培训在产前超声教学中的实证研究  

An empirical study of AI-assisted training in prenatal ultrasound teaching

作　　者：雷婷[1] 郑巧 林美芳[1] 谢红宁[1] LEI Ting;ZHENG Qiao;LIN Meifang;XIE Hongning(The First Affiliated Hospital of Sun Yat-sen University,Guangzhou 510080,China)

机构地区：[1]中山大学第一附属医院,广东广州510080

出　　处：《现代医院》2023年第9期1448-1450,1453,共4页Modern Hospitals

基　　金：国家重点研发计划项目(2022YFF0606302);国家自然科学基金面上项目(82171938);广东省企业联合基金项目(2022A1515220200);2023年中山大学教学质量与教学改革工程类项目(80000-12220011)。

摘　　要：当前产前超声实践教学存在孕妇志愿者不足、指导专家缺乏、教学过程无法实时监督等问题。在人工智能技术迅猛发展的背景下,产前超声人工智能辅助培训在教学改革中展现出潜力和优势。基于人工智能辅助培训实施策略与教学实践的讨论,以期促进产前超声教学新范式的合理铺开,最终提高学员学习效果,达到理论与实践融会贯通。Currently,there are several problems in the practice training of prenatal ultrasound,such as insufficient pregnant volunteers,lack of expert guidance,and inability to supervise the teaching process in real-time.With the rapid development of artificial intelligence(AI)technologies,AI-assisted training in prenatal ultrasound has shown potential and advantages for teaching reform.Based on the discussion of implementation strategies and instructional practices for AI-assisted training,it is expected that the new paradigm of teaching antenatal ultrasound can be reasonably disseminated,ultimately improving learning outcomes for students and enabling the integration of theory and practice.

关 键 词：产前超声 人工智能 教学改革 培训 

分 类 号：R197.323.6[医药卫生—卫生事业管理] R445.1[医药卫生—公共卫生与预防医学]