首页|期刊导航|西安交通大学学报(医学版)|医疗大模型驱动的精准筛查与虚拟助手减重管理研究

医疗大模型驱动的精准筛查与虚拟助手减重管理研究OA

Large-scale model-driven medical precision screening and virtual assistant for weight management

中文摘要英文摘要

目的 旨在利用人工智能(artificial intelligence,AI)技术构建的专属医疗大模型,分析其在实际减重管理临床工作中的应用价值.方法 首先采用武汉大学中南医院院内标记的特征数据及院外优质数据,进行专属减重大模型的训练和优化,最终形成 AI减重系统.然后对患者使用 AI减重系统3个月后健康效果与目标达成、治疗依从性等结果数据进行分析.结果 系统试运行3个月,累计识别管理用户1 492人,患者依从性提高了43%,减重效果提高了30%,患者满意度提高了35%,医生工作效率提高了50%.减重过程数据精准度提高了40%,减重治疗临床成本降低了39%.结论 AI医疗大模型能辅助临床医师提高减重治疗工作效率,提升患者的减重效果.

Objective To leverage an exclusive medical large-model constructed with artificial intelligence(AI)technology to analyze its value in clinical weight management practices.Methods First,proprietary weight management data from Wuhan University Zhongnan Hospital and high-quality external datasets were utilized to train and optimize a dedicated weight management large model,ultimately forming an AI-powered weight loss system.Subsequently,an analysis was conducted on health outcomes,goal achievement,and treatment compliance among patients who had used the AI weight loss system over a three-month period.Results During the three-month trial operation,the system cumulatively identified and managed 1 492 patients.Patient compliance increased by 43%,weight loss effectiveness improved by 30%,patient satisfaction rose by 35%,and physician efficiency was enhanced by 50%.The accuracy of weight loss process data was improved by 40%,while the clinical costs for weight loss treatment were reduced by 39%.Conclusion The AI medical large model can assist clinicians in improving the efficiency of weight loss treatments and enhance patient weight management outcomes.

肖辉;王华蔚;代喆;熊浩;李红霞

武汉大学中南医院信息中心,湖北 武汉 430071武汉大学中南医院内分泌科,湖北 武汉 430071武汉大学中南医院内分泌科,湖北 武汉 430071武汉大学中南医院信息中心,湖北 武汉 430071国家卫生健康委医院管理研究所,北京 100044

医药卫生

医疗大模型精准筛查人工智能(AI)虚拟助手减重管理

medical large modelprecision screeningartificial intelligence(AI)assistantweight management

《西安交通大学学报(医学版)》 2026 (3)

433-439,7

2024年国家卫生健康委医院管理研究所科研项目(No.YLXX24AIB006)2024国家重点研发计划中医药现代化重点专项(No.2024YFC3505105)Supported by the 2024 Scientific Research Projects of the Hospital Management Institute,National Health Commission of the People's Republic of China(No.YLXX24AIB006)and the 2024 Key Special Project of Traditional Chinese Medicine Modernization in the National Key R&D Program(No.2024YFC3505105)

10.7652/jdyxb202603005

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