[基于生成式人工智能的全流程疾病诊疗辅助系统的开发与应用]。

Q3 Medicine
Wanjie Yang, Hao Fu, Xiangfei Meng, Changsong Li, Ce Yu, Xinting Zhao, Weifeng Li, Wei Zhao, Qi Wu, Zheng Chen, Chao Cui, Song Gao, Zhen Wan, Jing Han, Weikang Zhao, Dong Han, Zhongzhuo Jiang, Weirong Xing, Mou Yang, Xuan Miao, Haibai Sun, Zhiheng Xing, Junquan Zhang, Lixia Shi, Li Zhang
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引用次数: 0

摘要

人工智能(AI),特别是生成式人工智能(GenAI)的快速发展,已经并将继续给我们的日常生产和生活带来革命性的变化,同时也为医疗领域的诊断和治疗实践带来新的机遇和挑战。天津大学海河医院与天津国家超级计算机中心、天津大学等机构合作,开展智慧医疗、智慧服务、智慧管理等领域的研究。在智慧医疗领域,我们研发了基于GenAI的全流程疾病诊疗辅助系统。这个项目的开发意义重大。第一个目标是对医院信息中心进行升级改造,与现有信息系统有机集成,为医院内部的智能化服务提供必要的计算能力存储支持。我们实现了天河“天元”、WiNGPT、DeepSeek三个模型的本地化部署。二是通过集成多模态智能交互技术,创建主任医师/主任医师语音和图像的数字化身。该方案以生成智能为核心,为患者提供可视化的医疗交互解决方案。三是实现生成智能与患者医疗全过程的深度适应。在本项目中,我们开发了智能查询、智能诊断识别、智能治疗方案生成、智能辅助病案生成等辅助工具,提高了诊疗过程的安全性、质量和效率。本研究介绍了全流程疾病诊疗辅助系统的内容,旨在为医疗行业的数字化转型提供参考和见解。
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 on a full process disease diagnosis and treatment assistance system based on generative artificial intelligence].

The rapid development of artificial intelligence (AI), especially generative AI (GenAI), has already brought, and will continue to bring, revolutionary changes to our daily production and life, as well as create new opportunities and challenges for diagnostic and therapeutic practices in the medical field. Haihe Hospital of Tianjin University collaborates with the National Supercomputer Center in Tianjin, Tianjin University, and other institutions to carry out research in areas such as smart healthcare, smart services, and smart management. We have conducted research and development of a full-process disease diagnosis and treatment assistance system based on GenAI in the field of smart healthcare. The development of this project is of great significance. The first goal is to upgrade and transform the hospital's information center, organically integrate it with existing information systems, and provide the necessary computing power storage support for intelligent services within the hospital. We have implemented the localized deployment of three models: Tianhe "Tianyuan", WiNGPT, and DeepSeek. The second is to create a digital avatar of the chief physician/chief physician's voice and image by integrating multimodal intelligent interaction technology. With generative intelligence as the core, this solution provides patients with a visual medical interaction solution. The third is to achieve deep adaptation between generative intelligence and the entire process of patient medical treatment. In this project, we have developed assistant tools such as intelligent inquiry, intelligent diagnosis and recognition, intelligent treatment plan generation, and intelligent assisted medical record generation to improve the safety, quality, and efficiency of the diagnosis and treatment process. This study introduces the content of a full-process disease diagnosis and treatment assistance system, aiming to provide references and insights for the digital transformation of the healthcare industry.

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来源期刊
Zhonghua wei zhong bing ji jiu yi xue
Zhonghua wei zhong bing ji jiu yi xue Medicine-Critical Care and Intensive Care Medicine
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