摘要
目的/意义 探讨利用生成式人工智能创作医学视频的技术路径,为医学视频低成本专业化生产提供方法论支撑。方法/过程 以《全冠固定修复手术》视频为例,使用DeepSeek生成标准化拍摄脚本,借助生成式人工智能工具制作手术演示视频,由医学专家审核内容准确性,确保符合临床规范。结果/结论 生成式人工智能技术可显著缩短制作周期,且生成内容通过专家评审,能够满足教学需求。该方法为医学视频创作提供了高效、经济的解决方案,但需结合人工审核以规避风险,未来可推广至更多医学教学场景。
Purpose/Significance To explore the technological path of using generative artificial intelligence(GAI)to create medical videos,and to provide methodological support for low-cost and specialized production of medical videos.Method/Process Taking the video of“full crown fixed repair surgery”as an example,DeepSeek is used to generate standardized shooting scripts,and GAI tools are used to create surgical demonstration videos.The accuracy of the contents is reviewed by medical experts to ensure compliance with clinical standards.Result/Conclusion GAI technology can significantly shorten the production cycle,and the generated content has passed expert review and can meet teaching needs.This method provides an efficient and economical solution for medical video creation,but it needs to be combined with manual review to avoid risks.In the future,it can be promoted to more medical teaching scenarios.
作者
韩晶
杨海平
曾怡佳
吴露星
HAN Jing;YANG Haiping;ZENG Yijia;WU Luxing(Institute of Scientific and Technical Information of China,Beijing 100038,China;Wanfang Data Co.Ltd.,Beijing 100038,China;School of Information Management,Nanjing University,Nanjing 210023,China)
出处
《医学信息学杂志》
2025年第8期68-72,共5页
Journal of Medical Informatics
基金
国家新闻出版署智慧出版与知识服务重点实验室课题(项目编号:ZHCB202405)。
关键词
生成式人工智能
技术路径
医学视频
学术传播
generative artificial intelligence(GAI)
technological path
medical video
scholarly communication
作者简介
韩晶,馆员,发表论文6篇。
