西安交通大学学报（医学版）2026，Vol.47Issue(3)：433-439,7.DOI:10.7652/jdyxb202603005
医疗大模型驱动的精准筛查与虚拟助手减重管理研究
Large-scale model-driven medical precision screening and virtual assistant for weight management
摘要
Abstract
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.关键词
医疗大模型/精准筛查/人工智能(AI)虚拟助手/减重管理Key words
medical large model/precision screening/artificial intelligence(AI)assistant/weight management分类
医药卫生引用本文复制引用
肖辉,王华蔚,代喆,熊浩,李红霞..医疗大模型驱动的精准筛查与虚拟助手减重管理研究[J].西安交通大学学报（医学版）,2026,47(3):433-439,7.基金项目
2024年国家卫生健康委医院管理研究所科研项目(No.YLXX24AIB006) （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) （No.2024YFC3505105）
